Removing Parallax-Induced Changes in Hyperspectral Change Detection

Authors

Karmon M. Vongsy, Air Force Research Laboratory
Michael J. Mendenhall, Air Force Institute of Technology
Michael T. Eismann, Air Force Institute of Technology
Gilbert L. Peterson, Air Force Institute of TechnologyFollow

Document Type

Conference Proceeding

Publication Date

7-2012

Abstract

Hyperspectral-based change detection is often inadvertently affected by image artifacts, reducing the accuracy of the change detector. We present a Hyperspectral Change Detection (HSCD) process to distinguish parallax-induced change from legitimate change. Image parallax decreases the accuracy of change detection results. The approach introduced in this paper utilizes a combination of a spectral change detector and stereo geometry to reduce parallax-induced false alarms. Image parallax is determined by considering the error in the epipolar constraint, meaning the corresponding points between two images must lie on epipolar lines. Experimental analysis shows a false alarm reduction by nearly one order of magnitude on synthetic hyperspectral imagery and nearly two orders of magnitude on real hyperspectral imagery. Abstract © 2012 IEEE.

DOI

10.1109/IGARSS.2012.6350982

Source Publication

IEEE International Geoscience and Remote Sensing Symposium, 2012

Recommended Citation

K. Vongsy, M. J. Mendenhall, M. T. Eismann and G. L. Peterson, "Removing parallax-induced changes in Hyperspectral Change Detection," 2012 IEEE International Geoscience and Remote Sensing Symposium, Munich, Germany, 2012, pp. 2012-2015, doi: 10.1109/IGARSS.2012.6350982.