顾及空间相关性的遥感影像信息量的度量方法

doi:10.11947/j.AGCS.2015.20140417

测绘学报 ›› 2015, Vol. 44 ›› Issue (10): 1117-1124.doi: 10.11947/j.AGCS.2015.20140417

顾及空间相关性的遥感影像信息量的度量方法

张盈, 张景雄

武汉大学遥感信息工程学院, 湖北武汉 430079

收稿日期:2014-08-21 修回日期:2015-05-07 出版日期:2015-10-20 发布日期:2015-10-23
通讯作者: 张景雄,E-mail:jxzhang@whu.edu.cn E-mail:jxzhang@whu.edu.cn
作者简介:张盈(1987—),女,博士生,研究方向为摄影测量与遥感.E-mail:yingzhang.whu@gmail.com
基金资助:
国家自然科学基金(41171346;41471375)

Measure of Information Content of Remotely Sensed Images Accounting for Spatial Correlation

ZHANG Ying, ZHANG Jingxiong

School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Received:2014-08-21 Revised:2015-05-07 Online:2015-10-20 Published:2015-10-23
Supported by:
The National Natural Science Foundation of China (Nos. 41171346,41471375)

摘要/Abstract

摘要： 提出了一种结合信息论与地学统计法的遥感影像信息量计算的方法.此方法基于遥感影像加性噪声模型和互信息上界的计算原理,同时考虑了噪声和空间相关性等影响遥感影像信息量的因素,适于计算具有稳健空间相关性、不同地物类型的光学影像的信息含量.利用Landsat TM影像子集,分别计算了城市、农田、山地3种不同地物类型的影像信息量.结果表明,城市含有最大的信息量,同时影像信息量与影像方差呈对数正相关关系.

关键词: 信息熵, 信息量, 变异函数, 空间相关性, 加性噪声, 遥感影像

Abstract: A measure is proposed based on the information theory and geostatistics to evaluate information content in remotely sensed images. The method is based on the additive noise model and maximum mutual information.These factors affecting the information content have been taken into account, such as noise, spatial correlation and so on. It is suitable for measuring the information content in optical images that have robust spatial correlation with different land cover types. An experiment was performed on a Landsat TM image with three different kinds of land cover types (city, farmland and mountain). The result shows that city has the most information content. It also proves that there is a log positive correlation between information content and the variance of the images.

Key words: information entropy, information content, variogram, spatial correlation, additive noise, remotely sensed imagery

中图分类号:

P227

张盈, 张景雄. 顾及空间相关性的遥感影像信息量的度量方法[J]. 测绘学报, 2015, 44(10): 1117-1124.

ZHANG Ying, ZHANG Jingxiong. Measure of Information Content of Remotely Sensed Images Accounting for Spatial Correlation[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(10): 1117-1124.

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顾及空间相关性的遥感影像信息量的度量方法

Measure of Information Content of Remotely Sensed Images Accounting for Spatial Correlation

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