Acta Geodaetica et Cartographica Sinica ›› 2018, Vol. 47 ›› Issue (6): 722-729.doi: 10.11947/j.AGCS.2018.20180011

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Smart Photogrammetric and Remote Sensing Image Processing for Optical Very High Resolution Images-Examples from the CRC-AGIP Lab at UNB

Yun ZHANG   

  1. Canada Advanced Geomatics Image Processing Laboratory, Department of Geodesy and Geomatics Engineering(GGE), University of New Brunswick(UNB), Fredericton New Brunswick E3B5A3, Canada
  • Received:2017-12-06 Revised:2018-03-22 Online:2018-06-20 Published:2018-06-21
  • Supported by:
    The Natural Sciences and Engineering Research Council of Canada (NSERC),Discovery Grants (Nos.2001-PIN236406;2006-PIN236406;2011-PIN236406);The NSERC Research Tools and Instruments Grants (No.2003-PIN236406);The Canada Foundation for Innovation (CFI),John R.Evans Leaders Fund (Nos.2008-950-206422;2014-950-228916)

Abstract: This paper introduces some of the image processing techniques developed in the Canada Research Chair in Advanced Geomatics Image Processing Laboratory (CRC-AGIP Lab) and in the Department of Geodesy and Geomatics Engineering (GGE) at the University of New Brunswick (UNB),Canada.The techniques were developed by innovatively utilizing the characteristics of the available very high resolution remote sensing optical images to solve important problems or create new applications in photogrammetry and remote sensing.The techniques to be introduced are:automated image fusion (UNB-PanSharp),satellite image online mapping,street view technology,moving vehicle detection using single set satellite imagery,supervised image segmentation,image matching in smooth areas,and change detection using images from different viewing angles.

Key words: remote sensing, optical image, high resolution, pan-sharpening, online mapping, street view, moving information detection, image segmentation, image matching, change detection

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