TY - GEN
T1 - Urban area change detection based on generalized likelihood ratio test
AU - Zhao, Weiying
AU - Lobry, Sylvain
AU - Maitre, Henri
AU - Nicolas, Jean Marie
AU - Tupin, Florence
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/9/12
Y1 - 2017/9/12
N2 - Change detection methods often use denoised data because the original speckle noise has a strong influence on the detection results. The effect of using different data sources (different equivalent number of looks, original data, denoised data) and different threshold methods are studied based on four kinds of generalized likelihood ratio test approaches. NL-SAR [1] denoised data and the corresponding spatially varying equivalent number of looks are taken into account in the detection procedure. The bi-temporal experimental results on simulated data, realistic synthetic Sentinel-1 SAR data show the improvement of using equivalent number of looks of denoised data and corresponding adaptive thresholds for change detection in urban areas.
AB - Change detection methods often use denoised data because the original speckle noise has a strong influence on the detection results. The effect of using different data sources (different equivalent number of looks, original data, denoised data) and different threshold methods are studied based on four kinds of generalized likelihood ratio test approaches. NL-SAR [1] denoised data and the corresponding spatially varying equivalent number of looks are taken into account in the detection procedure. The bi-temporal experimental results on simulated data, realistic synthetic Sentinel-1 SAR data show the improvement of using equivalent number of looks of denoised data and corresponding adaptive thresholds for change detection in urban areas.
UR - https://www.scopus.com/pages/publications/85032362951
U2 - 10.1109/Multi-Temp.2017.8035245
DO - 10.1109/Multi-Temp.2017.8035245
M3 - Conference contribution
AN - SCOPUS:85032362951
T3 - 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017
BT - 2017 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images, MultiTemp 2017
Y2 - 27 June 2017 through 29 June 2017
ER -