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Combining the Pixel-based and Object-based Methods for Building Change Detection Using High-resolution Remote Sensing Images ZHANG Zhiqiang, ZHANG Xinchang, XIN Qinchuan, YANG Xiaoling Acta Geodaetica et Cartographica Sinica    2018, 47 (1): 102-112.   DOI: 10.11947/j.AGCS.2018.20170483 Abstract （1617）   HTML    PDF（pc） （13524KB）（5250）       Knowledge map    Save Timely and accurate change detection of buildings provides important information for urban planning and management.Accompanying with the rapid development of satellite remote sensing technology,detecting building changes from high-resolution remote sensing images have received wide attention.Given that pixel-based methods of change detection often lead to low accuracy while object-based methods are complicated for uses,this research proposes a method that combines pixel-based and object-based methods for detecting building changes from high-resolution remote sensing images.First,based on the multiple features extracted from the high-resolution images,a random forest classifier is applied to detect changed building at the pixel level.Then,a segmentation method is applied to segement the post-phase remote sensing image and to get post-phase image objects.Finally,both changed building at the pixel level and post-phase image objects are fused to recognize the changed building objects.Multi-temporal QuickBird images are used as experiment data for building change detection with high-resolution remote sensing images,the results indicate that the proposed method could reduce the influence of environmental difference,such as light intensity and view angle,on building change detection,and effectively improve the accuracies of building change detection. Reference | Related Articles | Metrics

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The Functional Gradient Description Method of Space Coordinate Transformation DUAN Pengshuo LIU Gengyou GONG Youliang HAO Xiaoguang WANG Nazi Acta Geodaetica et Cartographica Sinica    2014, 43 (10): 1005-1012.   DOI: 10.13485/j.cnki.11-2089.2014.0145 Abstract （1157）   HTML    PDF（pc） （927KB）（7166）       Knowledge map    Save This?study?proposes?the?conception?of?coordinate?transformation?gradient?field,?which?can?realize?the?space?coordinate?transformation?from?small?angle?to?arbitrary?angle?and?from?static?to?dynamical.? Based?on?the?equivalent?of?the?unit?quaternion?rotation?matrix?and?the?Rodrigo?matrix,?this?paper?reveals?the?mathematical?relationship?between?the?spatial?coordinate?transformation?and?the?functional? gradient?and?derives?an?arbitrary?coordinate?transformation?formula?expressed?by?functional?gradient?in?space.?The?results?indicate?that?the?essence?of?spatial?coordinate?transformation?is?potential?field ?in?mathematic?and?we?can?unify?all?the?space?coordinate?transformations?by?using?the?conception?of?field,?which?is?the?theoretical?foundation?for?the?further?study?of?time?continuous?space?coordinate ?transformation?and?this?study?also?gives?a?new?solution?for?the?attitude?determination?of?motion?carriers. Reference | Related Articles | Metrics

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Accessibility Analysis of Road Network Supported by Isochrone Model HE Yakun AI Tinghua YU Wenhao Acta Geodaetica et Cartographica Sinica    2014, 43 (11): 1190-1196.   DOI: 10.13485/j.cnki.11-2089.2014.0183 Abstract （1516）   HTML    PDF（pc） （1815KB）（7242）       Knowledge map    Save An isochrone is a visual representation of time accessibility which refers to a particular point in the road network. Features of road network and traffic conditions should be considered when generating isochrones. Accessibility rules can be found through analyzing the morphological features of isochrones. This article systematically studied the definition, characteristics and generation methods of isochrones. We proposed the flow method to generate isochrones, which was analogous to the process of water drop spreading along the wood texture. Accessibility expansion paths were obtained on the basis of the network rasterization model, considering unique constraints of isochrones extension, such as road conditions, moving criteria and time sections. Then we used the extending convex hull and angle bisector displacement to generate isochrones. Since the algorithm was based on field theory, we could flexibly load space constraints for any part of interested zones. This advantage made it convenient to generate real-time isochrones. Similar to extracting geomorphic traits from contour lines, we found accessibility rules by analyzing the arrangement form, density, bending form, bending direction and stretching direction of isochrones which was generated by the above approach. After that, we inferred accessibility rules. Reference | Related Articles | Metrics

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Study of Auto-vectorization based on Scan-thinning-algorithm Acta Geodaetica et Cartographica Sinica    Abstract （1204）   HTML    PDF（pc） （3045KB）（4167）       Knowledge map    Save The auto-vectorization of raster map is the important way of the collection of geographic information. But at present, the result of the main software for auto-vectorization is bad with some aspects which make the great computation of disposing the vector lines. It’s designed the Scan-thinning-algorithm based on the morphological characteristics of the raster lines. This algorithm though 3 steps to thinning the raster lines, first, tracking the undetermined pixel by pushing with the sequential of the line; the second, obtaining the Center-pixel by scanning truncation of the line; finally, connection the present Center-pixel and the last Center-pixel with the ordinary Thinning-pixel. The result of the Scan-thinning-algorithm has some characteristics, less influence of the edge conditions, less Center-pixels, and grate precision. It’s designed the auto-tracking-vectorization algorithm dispose the result of the Scan-thinning-algorithm. By the way, reduced the working of coordinate transfer, at the same time the result of this algorithm has some characteristics, less nodes, the smooth result approach with the center of line, do not mutual interrupted at the intersection, so that , which greatly improved the efficiency of auto-vectorization and post-processing. Finally, this paper introduces the auto-vectorization and the post-processing method of the raster area map. Related Articles | Metrics

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The Perturbation Analysis of Nonlinear Ill-conditioned Solution Acta Geodaetica et Cartographica Sinica    Abstract （1441）   HTML    PDF（pc） （999KB）（4853）       Knowledge map    Save In addition to the ill-conditioned analysis of the nonlinear model itself, the perturbation stemmed from truncation and orthogonalization process needs to be considered. In this paper, the perturbative estimation inequality of nonlinear ill-conditioned problem was derived from the definition of the generalized condition number. And based on the perturbative estimation inequality, the impacts of judgement and analysis were studied on nonlinear ill-conditioned problem. The impacts stemmed primarily from the disturbance of the coefficient matrix of linear approximation and additional truncation error，also including orthogonal approximation. Therefore, nonlinear ill-conditioned problem was verified and analyzed through two examples. The results of the research show that: when the model nonlinearity is strong, the disturbance of the coefficient matrix and additional truncation error are very significant due to the selection of different approximation values and orthogonal approximation. In this case, iterative regularization method can be used to solve nonlinear ill-conditioned problems. Related Articles | Metrics

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Research progress of geodesy in China (2019—2023) DANG Yamin, JIANG Tao, YANG Yuanxi, SUN Heping, JIANG Weiping, ZHU Jianjun, XUE Shuqiang, ZHANG Xiaohong, YU Baoguo, LUO Zhicai, LI Xingxing, XIAO Yun, ZHANG Chuanyin, ZHANG Baocheng, LI Zishen, FENG Wei, REN Xia, WANG Hu Acta Geodaetica et Cartographica Sinica    2023, 52 (9): 1419-1436.   DOI: 10.11947/j.AGCS.2023.20230343 Abstract （789）   HTML （112）    PDF（pc） （1294KB）（1358）       Knowledge map    Save From July 11 to 20, 2023, the 28th International Union of Geodesy and Geophysics (IUGG) general assembly was held in Berlin, Germany. According to the tradition of IUGG, the Chinese National Committee for International Association of Geodesy (CNC-IAG) organized dozens of domestic institutions to compile the “2019—2023 China National Report on Geodesy”, which summarized the research progress of various branches of geodesy in China from 2019 to 2023. This article summarizes the overall progress of China's geodetic discipline in recent years, focusing on representative progress in six research directions including reference frame, comprehensive PNT and resilient PNT, gravity field and vertical datum, precise GNSS products, multi-source sensor integrated navigation, and marine geodesy. Moreover, in light of the development trends of international geodesy and related interdisciplinary disciplines, several suggestions are proposed for the future development of geodesy in China. Reference | Related Articles | Metrics

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Research Progress and Methods of InSAR for Deformation Monitoring ZHU Jianjun, LI Zhiwei, HU Jun Acta Geodaetica et Cartographica Sinica    2017, 46 (10): 1717-1733.   DOI: 10.11947/j.AGCS.2017.20170350 Abstract （4732）   HTML    PDF（pc） （1654KB）（9139）       Knowledge map    Save Deformation monitoring is one of the most mature applications of space-borne InSAR technique. Firstly, we introduce the basic principle of InSAR in the monitoring of deformation and the current SAR satellites. The deformation monitoring methods of InSAR are then classified into the groups of D-InSAR, PS-InSAR, SBAS-InSAR, DS-InSAR and MAI, which are analyzed in the aspects of technical features and application scopes. Subsequently, we analyze the research progress and deficiencies of InSAR in the investigation of urban, mining area, earthquake, volcano, infrastructure, glacier, permafrost and landslide. Finally, some advanced academic problems such as deformation monitoring in multi-demension and low coherence area, atmospheric and orbital errors mitigation, and accuracy assessment are concluded. Reference | Related Articles | Metrics

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Progresses and Prospects in Developing Marine Geodetic Datum and Marine Navigation of China YANG Yuanxi, XU Tianhe, XUE Shuqiang Acta Geodaetica et Cartographica Sinica    2017, 46 (1): 1-8.   DOI: 10.11947/j.AGCS.2017.20160519 Abstract （1903）   HTML    PDF（pc） （981KB）（4954）       Knowledge map    Save Territorial water is a significant part of national sovereignty of China, thus the infrastructures of national space datum and location services should not only cover the land areas, but also the sea areas. China has established relatively complete geodetic datum in land areas over the past decades, including the new developed China Geodetic Coordinate System 2000 (CGCS 2000) and the national gravity datum 2000. However, the currently used geodetic infrastructures have not well covered the sea areas of China. The marine geodetic datum and marine navigation technologies need to be further developed and extended to satisfy the national demands of marine defense and marine economy development in new era of China. This paper mainly reviews the developing states and progress of Chinese marine geodetic datum and marine navigation, analyses key technologies in establishing the national marine geodetic datum. The develop current trends and future directions for the national marine geodetic datum and marine navigation technologies are listed. Reference | Related Articles | Metrics

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Progress, Challenges and Perspectives of 3D LiDAR Point Cloud Processing YANG Bisheng, LIANG Fuxun, HUANG Ronggang Acta Geodaetica et Cartographica Sinica    2017, 46 (10): 1509-1516.   DOI: 10.11947/j.AGCS.2017.20170351 Abstract （4159）   HTML    PDF（pc） （1579KB）（9444）       Knowledge map    Save 3D LiDAR can perform an intensive sampling of the earth surface in a direct way, and yield the 3D point cloud that contains numerous and scattered points with the coordinates ( X, Y, Z) and attributes (e.g., intensity). As the vital 3D geospatial data for description of the world in the digital era, 3D point cloud plays an important role not only in earth science researches but also in national requirements (e.g., global change analysis, global mapping, and smart city). Inspired by sensor technologies and national requirements, 3D LiDAR has got great progresses in hardware, data processing and applications, and is facing new challenges. Following the history of 3D LiDAR, this paper first reviews the status of 3D LiDAR system, and introduces the development of key technologies in data processing. Then the typical applications of 3D LiDAR in surveying and other related fields are listed, and current challenges in point cloud processing are concluded. Finally, some future perspectives are presented. Reference | Related Articles | Metrics

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Simulation Analysis of Cylindrical Panoramic Image Mosaic ZHU Ningning Acta Geodaetica et Cartographica Sinica    2017, 46 (4): 487-497.   DOI: 10.11947/j.AGCS.2017.20160456 Abstract （1515）   HTML    PDF（pc） （6790KB）（4844）       Knowledge map    Save With the rise of virtual reality (VR) technology, panoramic images are used more widely, which obtained by multi-camera stitching and take advantage of homography matrix and image transformation, however, this method will destroy the collinear condition, make it's difficult to 3D reconstruction and other work. This paper proposes a new method for cylindrical panoramic image mosaic, which set the number of mosaic camera, imaging focal length, imaging position and imaging attitude, simulate the mapping process of multi-camera and construct cylindrical imaging equation from 3D points to 2D image based on photogrammetric collinearity equations. This cylindrical imaging equation can not only be used for panoramic stitching, but also be used for precision analysis, test results show: ①this method can be used for panoramic stitching under the condition of multi-camera and incline imaging; ②the accuracy of panoramic stitching is affected by 3 kinds of parameter errors including focus, displacement and rotation angle, in which focus error can be corrected by image resampling, displacement error is closely related to object distance and rotation angle error is affected mainly by the number of cameras. Reference | Related Articles | Metrics

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Automatic Analysis and Mining of Remote Sensing Big Data LI Deren, ZHANG Liangpei, XIA Guisong Acta Geodaetica et Cartographica Sinica    2014, 43 (12): 1211-1216.   DOI: 10.13485/j.cnki.11-2089.2014.0187 Abstract （4602）   HTML    PDF（pc） （1314KB）（11018）       Knowledge map    Save With the diversification of the imaging methods and the growing categories, quantity, and observation frequency of remote sensing data, the ability of land-cover observation has reached an unprecedented level, which means a new era of big data in remote sensing is coming. However, the existing methods and processing techniques cannot fulfill the need of the big data application in remote sensing. Thus, to develop the automatic analysis and mining theory and techniques for remote sensing big data is among the most advanced international research areas. This paper investigates and analyses the domestic and overseas research status and progress around this field and points out its key problems and developing trends. Reference | Related Articles | Metrics

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Automatic Extraction of Contours of Buildings on Oblique View Maps Based on 3D City Models ZHU Yuanyuan, ZHU Qing, ZHANG Yeting, PENG Mingjun, GAO Shan Acta Geodaetica et Cartographica Sinica    2015, 44 (9): 1036-1041.   DOI: 10.11947/j.AGCS.2015.20140662 Abstract （1199）   HTML    PDF（pc） （2171KB）（3558）       Knowledge map    Save Aiming to deal with the problem that manual extraction of contours of buildings on oblique view maps are expensive and ineffective with low accuracy and coarse detail, we present a method of automatic extraction of contours buildings on oblique view maps which based on 3D city models. We employ depth-buffers to obtain a building object's color-buffers concerning the occlusion blocked by other buildings and the existence of groups of buildings, and then we trace building contours based on color-buffers. And in order to keep the occlusion consistency and match the traced contours with the map, we propose loading 3D city models by block on projection plane. Finally, the validity and feasibility of this method are proved through the experiments on 3D city models of Wuhan. Reference | Related Articles | Metrics

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The Historical Evolution and Reflection of Geospatial Information Grid WAN Gang, CAO Xuefeng Acta Geodaetica et Cartographica Sinica    2016, 45 (S1): 15-22.   DOI: 10.11947/j.AGCS.2016.F002 Abstract （1479）   HTML    PDF（pc） （982KB）（3854）       Knowledge map    Save With the development of science and practices, the grid concept continues to evolve, and there are differences and relations between different industries about understanding of its connotation. First, the theoretic characteristics of Geospatial Grid are analyzed and its broad and narrow concept is put forward. Then the history of Geospatial Grid development is reviewed and analyzed, and Geospatial Grid is considered as one kind human spatial cognition theory, and it developed into Geospatial Information Grid under the condition of information. At the end, this paper argues that the research object of Geospatial Information Grid is the informational earth system and it is based on the model theory, the service and standards system will be constructed, and the service range extends from human to intelligent platforms at that time which leading to a bright future. Reference | Related Articles | Metrics

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Development status and trends of Imaging Geodesy LI Zhenhong, ZHU Wu, YU Chen, ZHANG Qin, YANG Yuanxi Acta Geodaetica et Cartographica Sinica    2023, 52 (11): 1805-1834.   DOI: 10.11947/j.AGCS.2023.20230003 Abstract （388）   HTML （71）    PDF（pc） （19962KB）（1001）       Knowledge map    Save The utilization of remote sensing satellites has led to a significant increase in the use of imagery for acquiring Earth-related data. These satellites offer high observational accuracy and spatio-temporal resolutions, making them valuable tools for obtaining geodetic parameters, such as the shape and size of our planet. This advancement has not only propelled the field of Geodesy but has also given rise to a new discipline known as Imaging Geodesy. Imaging Geodesy has become an interdisciplinary science of Geodesy, Remote Sensing, Photogrammetry and Computer Vision, and has played an important role in the fields of disaster reduction, environmental protection and new energy development. In this paper, the development, definition, key technologies, main contents and development trends of Imaging Geodesy are summarized. With the development of remote sensing satellites and corresponding image processing technologies, the developmental history of Imaging Geodesy can be divided into four stages, i.e. beginning, leaping, in-depth innovation, and comprehensive application. According to the locations of its research objects, Imaging Geodesy's research contents include: observing the Earth's atmosphere, monitoring the Earth's surface, and determining the physical structure of the Earth's interior. To illustrate the practical applications of Imaging Geodesy, five scenarios are presented: generation of digital elevation models, monitoring of atmospheric water vapor, detection and monitoring of active landslides, investigation of earthquake cycles and monitoring of soil moisture. One major challenge of Imaging Geodesy is how to fuse and process the big data from multiple sources in near real time. It is believed that this paper would assist geodesy scholars in better understanding Imaging Geodesy, enabling them to integrate this emerging field into their teaching and research and to contribute to national strategies and project developments. Reference | Related Articles | Metrics

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Review of visual SLAM environment perception technology and intelligent surveying and mapping application ZHANG Jixian, LIU Fei Acta Geodaetica et Cartographica Sinica    2023, 52 (10): 1617-1630.   DOI: 10.11947/j.AGCS.2023.20220240 Abstract （732）   HTML （145）    PDF（pc） （3053KB）（943）       Knowledge map    Save Visual SLAM(simultaneous localization and mapping) technology is one of the core technologies of modern intelligent equipment environment perception. It is an important factor driving the development of modern surveying and mapping production mode to intelligent surveying and mapping. Focusing on the visual SLAM environment perception technology, this paper combs the brief technical framework, important algorithms and mapping application mode of typical visual SLAM environment perception in the past 30 years according to the five aspects of feature method, direct method, visual fingerprint database, semantic SLAM and brain-like SLAM; summarizes and analyzes the development trend of visual SLAM environment perception technology in intelligent environment interaction perception, crowdsourcing instant information processing, and diversified perception data service; discusses the application mode of visual SLAM environment perception technology in interactive navigation and positioning, digital twin city construction, real-time surface monitoring and interpretation, crowdsourcing map POI production, unattended geological disaster monitoring and deep space exploration supported by independent interactive ability. At present, the surveying and mapping industry is in a period of major development and transformation. With the rapid combination of visual SLAM environment perception technology and artificial intelligence technology, it will further enable the transformation of surveying and mapping production mode and improve the level of intelligent production and service. Reference | Related Articles | Metrics

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Deep learning algorithm for feature matching of cross modality remote sensing images LAN Chaozhen, LU Wanjie, YU Junming, XU Qing Acta Geodaetica et Cartographica Sinica    2021, 50 (2): 189-202.   DOI: 10.11947/j.AGCS.2021.20200048 Abstract （3241）   HTML （234）    PDF（pc） （25649KB）（3236）       Knowledge map    Save Focusing on the problem of difficulty in matching due to the differences in imaging modality, time phases, and resolutions of cross modality remote sensing images, a new deep learning feature matching method named CMM-Net is proposed. First, a convolutional neural network is used to extract high-dimensional feature maps of the cross modality remote sensing images. The key points are selected according to the conditions that both the channel maximum and local maximum are met, and the 512-dimensional descriptors in corresponding location are extracted on the feature map to complete the feature extraction. In the matching stage, after completing the fast-nearest neighbor searching, in order to solve the problem of lots of mismatched points, a purification algorithm with dynamic adaptive Euclidean distance and RANSAC constraints is proposed to ensure that the mismatches are effectively eliminated while retaining the correct matches. The algorithm was tested using multiple sets of cross modality remote sensing images and compared with other algorithms. The results show that the proposed algorithm has the ability to extract similar scale invariant features in cross modality images, and has strong adaptability and robustness. Reference | Related Articles | Metrics

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Color Matching of Polychromatic Contour Lines Considering the Land-use Thematic Information Based on the Munsell-HCV Color Harmony Rule Acta Geodaetica et Cartographica Sinica    2013, 42 (5): 752-759.   Abstract （635）   HTML    PDF（pc） （2021KB）（3063）       Knowledge map    Save This paper proposes a color matching method of polychromatic contour lines based on Munsell Color Harmony Theory for improving the color harmony in thematic maps. The working framework includes 3 aspects: category harmonization, direction harmonization and chromatism harmonization. Firstly, a basic color for contour lines is predestined with the habitual color used to be employed, and its corresponding harmony color subdomain is worked up. Secondly, several algorithms of color harmony between contour lines and land-use parcels are used based on Munsell’s color harmony directions, and a few candidate colors of contour lines are figured out according to their background parcels. Finally, the priority matching levels for contour lines are conducted by the distribution variation analysis of parcels and contour lines, and the optimal polychromatic contour lines are balance taking account to human feeling on chromatic aberration. Both the primary comparison experiments and questionnaire survey indicate that the polychromatic contour lines calculated by harmony color matching method provide more flexible and delicate visual effect for the land-use thematic maps. Reference | Related Articles | Metrics

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A Method of Vector Map Multi-scale Representation Considering User Interest on Subdivision Gird YU Tong, DENG Shujun, QIAN Haizhong, YANG Qingli Acta Geodaetica et Cartographica Sinica    2016, 45 (S1): 127-134.   DOI: 10.11947/j.AGCS.2016.F016 Abstract （856）   HTML    PDF（pc） （1784KB）（3352）       Knowledge map    Save Compared with the traditional spatial data model and method, global subdivision grid show a great advantage in the organization and expression of massive spatial data. In view of this, a method of vector map multi-scale representation considering user interest on subdivision gird is proposed. First, the spatial interest field is built using a large number POI data to describe the spatial distribution of the user interest in geographic information. Second, spatial factor is classified and graded, and its representation scale range can be determined. Finally, different levels of subdivision surfaces are divided based on GeoSOT subdivision theory, and the corresponding relation of subdivision level and scale is established. According to the user interest of subdivision surfaces, the spatial feature can be expressed in different degree of detail. It can realize multi-scale representation of spatial data based on user interest. The experimental results show that this method can not only satisfy general-to-detail and important-to-secondary space cognitive demands of users, but also achieve better multi-scale representation effect. Reference | Related Articles | Metrics

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Overview of the Research Progress in the Earth Tessellation Grid ZHAO Xuesheng, BEN Jin, SUN Wenbin, TONG Xiaochong Acta Geodaetica et Cartographica Sinica    2016, 45 (S1): 1-14.   DOI: 10.11947/j.AGCS.2016.F001 Abstract （1223）   HTML    PDF（pc） （1135KB）（4156）       Knowledge map    Save By analyzing the related literatures on the earth tessellation grid (ETG) in recent 10 years, the research achievements in this field are systematic reviewed in four aspects, i.e. the earth subdivision modeling (include quadrangle subdivision, equal-area subdivision and 3D subdivision), encoding computation (include hierarchical encoding computation, filling curve encoding computation and integer coordinate encoding computation), grid quality assessment (include evaluation criteria, evaluation factors, and propagation trend in diffferent levels) and typical applications (include government agency applications,business software applications and industry applications). The structural characteristics, applicable models and their shortcomings in the different grid models are given in details. Finally, some advanced academic problems in the ETG are given based on the completeness of basic theory, the efficiency of grid computing, and the reliability of grid quality. Reference | Related Articles | Metrics

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An Overview on Data Mining of Nighttime Light Remote Sensing LI Deren, LI Xi Acta Geodaetica et Cartographica Sinica    2015, 44 (6): 591-601.   DOI: 10.11947/j.AGCS.2015.20150149 Abstract （3641）   HTML    PDF（pc） （1051KB）（6405）       Knowledge map    Save When observing the Earth from above at night, it is clear that the human settlement and major economic regions emit glorious light. At cloud-free nights, some remote sensing satellites can record visible radiance source, including city light, fishing boat light and fire, and these nighttime cloud-free images are remotely sensed nighttime light images. Different from daytime remote sensing, nighttime light remote sensing provides a unique perspective on human social activities, thus it has been widely used for spatial data mining of socioeconomic domains. Historically, researches on nighttime light remote sensing mostly focus on urban land cover and urban expansion mapping using DMSP/OLS imagery, but the nighttime light images are not the unique remote sensing source to do these works. Through decades of development of nighttime light product, the nighttime light remote sensing application has been extended to numerous interesting and scientific study domains such as econometrics, poverty estimation, light pollution, fishery and armed conflict. Among the application cases, it is surprising to see the Gross Domestic Production (GDP) data can be corrected using the nighttime light data, and it is interesting to see mechanism of several diseases can be revealed by nighttime light images, while nighttime light are the unique remote sensing source to do the above works. As the nighttime light remote sensing has numerous applications, it is important to summarize the application of nighttime light remote sensing and its data mining fields. This paper introduced major satellite platform and sensors for observing nighttime light at first. Consequently, the paper summarized the progress of nighttime light remote sensing data mining in socioeconomic parameter estimation, urbanization monitoring, important event evaluation, environmental and healthy effects, fishery dynamic mapping, epidemiological research and natural gas flaring monitoring. Finally, future trends of nighttime light remote sensing and its data mining have been proposed from four aspects including new data source, knowledge discovery, in-situ observation, and national/global geographic conditions monitoring. Reference | Related Articles | Metrics