TY - JOUR
T1 - Application of IR-MAD using synthetically fused images for change detection in hyperspectral data
AU - Wang, Biao
AU - Choi, Seok Keun
AU - Han, You Kyung
AU - Lee, Soung Ki
AU - Choi, Jae Wan
N1 - Publisher Copyright:
© 2015 © 2015 Taylor & Francis.
PY - 2015/8/3
Y1 - 2015/8/3
N2 - The main objective of this letter is to improve the accuracy of unsupervised change detection method and minimize registration errors among multi-temporal images in the change detection process. To this end, iteratively regularized multivariate alteration detection (IR-MAD) is applied to synthetically fused images. First, four synthetically fused hyperspectral images are generated using the block-based fusion method. Then, the IR-MAD is applied to three pairs of the fused images using integrated IR-MAD variates, to decrease the falsely detected changes. To focus on the mis-registration effects, we apply the method to both a correctly registered data-set and a data-set with deliberately misaligned images. In this experiment using multi-temporal Hyperion images, the changed areas are more efficiently detected by our method than by the original IR-MAD algorithm.
AB - The main objective of this letter is to improve the accuracy of unsupervised change detection method and minimize registration errors among multi-temporal images in the change detection process. To this end, iteratively regularized multivariate alteration detection (IR-MAD) is applied to synthetically fused images. First, four synthetically fused hyperspectral images are generated using the block-based fusion method. Then, the IR-MAD is applied to three pairs of the fused images using integrated IR-MAD variates, to decrease the falsely detected changes. To focus on the mis-registration effects, we apply the method to both a correctly registered data-set and a data-set with deliberately misaligned images. In this experiment using multi-temporal Hyperion images, the changed areas are more efficiently detected by our method than by the original IR-MAD algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84938318405&partnerID=8YFLogxK
U2 - 10.1080/2150704X.2015.1062155
DO - 10.1080/2150704X.2015.1062155
M3 - Article
AN - SCOPUS:84938318405
SN - 2150-704X
VL - 6
SP - 578
EP - 586
JO - Remote Sensing Letters
JF - Remote Sensing Letters
IS - 8
ER -