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

doi:10.11947/j.JGGS.2019.0203

Abstract

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/“smartly” utilizing the characteristics of the available very high resolution optical remote sensing 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. Because of their broad application potential, some of the techniques have made a global impact, and some have demonstrated the potential for a global impact.

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

Yun ZHANG. Smart Photogrammetric and Remote Sensing Image Processing for Very High Resolution Optical Images— Examples from the CRC-AGIP Lab at UNB[J]. Journal of Geodesy and Geoinformation Science, 2019, 2(2): 17-26.

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