DocumentCode :
1757356
Title :
GeoCDX: An Automated Change Detection and Exploitation System for High-Resolution Satellite Imagery
Author :
Klaric, M.N. ; Claywell, B.C. ; Scott, Grant J. ; Hudson, N.J. ; Sjahputera, O. ; Yonghong Li ; Barratt, S.T. ; Keller, James M. ; Davis, C.H.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
Volume :
51
Issue :
4
fYear :
2013
fDate :
41365
Firstpage :
2067
Lastpage :
2086
Abstract :
We have developed a fully automated system for change detection of high-resolution satellite imagery. Our system, GeoCDX, is sensor-agnostic, resolution-independent and designed to process the very large volumes of data collected by modern high resolution panchromatic and multispectral imaging satellites. GeoCDX performs fully automated coregistration of imagery; extracts high-level features from the satellite imagery; performs change detection processing to pinpoint locations of change; clusters image tiles to group similar regions of change; and presents results in a variety of ways in an easy-to-use web application that facilitates online discovery, analysis, and dissemination of the change detection results. We applied GeoCDX to 4121 image pairs and successfully coregistered over 91% of the pairs covering a total area greater than 370 000 km2; GeoCDX decreased the average coregistration error from 9.6 ± 8.6 m to 1.8 ± 1.2 m. We show that for some pairs, GeoCDX provides up to a 50% increase in users´ efficiency compared to manually performing change detection in common GIS software. Moreover, the change detection assessment performed using GeoCDX was on average four times more accurate compared to the manual approach in large part due to the use of our change intensity map that provides visual cues to the user during exploitation. Finally, change detection analysis using GeoCDX resulted in a missed detection rate of less than 2%.
Keywords :
Internet; feature extraction; geographic information systems; geophysical image processing; image classification; image registration; terrain mapping; GIS software; GeoCDX; automated change detection; automated imagery coregistration; average coregistration error; change detection analysis; change detection assessment; change detection processing; change intensity map; easy-to-use Web application; exploitation system; fully automated system; high resolution multispectral imaging satellites; high resolution panchromatic imaging satellites; high-level features; high-resolution satellite imagery; image pairs; image tiles; missed detection rate; online discovery; pinpoint locations; sensor-agnostic resolution-independent system; user efficiency; Feature extraction; Image resolution; Image sensors; Satellites; Sensors; Transforms; Change detection algorithms; feature extraction; image registration; remote sensing; subtraction techniques;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2243840
Filename :
6479289
Link To Document :
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