Title :
Urban Change Detection based on Local Features and Multiscale Fusion
Author :
Huo, Chunlei ; Zhou, Zhixin ; Liu, Qingshan ; Cheng, Jian ; Lu, Hanqing ; Chen, Keming
Author_Institution :
Nat. Lab. of Pattern Recognition, CAS, Beijing
Abstract :
A multiscale approach is presented in this paper for urban change detection of VHR images. The proposed approach detects the changes at different scales by local-region-based approach, which consists of local region extraction, local region description and local region comparison. To combine the changes at different scales and improve the accuracy, multiscale fusion strategy is applied to local-region-based change detection. Experimental results obtained on Quickbird images confirm the effectiveness of the proposed approach.
Keywords :
feature extraction; geophysical techniques; image fusion; Quickbird images; VHR images; local features; local-region-based approach; multiscale fusion; urban change detection; Building materials; Computer vision; Detectors; Feature extraction; Image segmentation; Laboratories; Layout; Object detection; Spatial resolution; Urban areas; change detection; local feature; local region; multiscale fusion;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779581
