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

Volume

3

fYear

2008

fDate

7-11 July 2008

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.2008.4779581

Filename

4779581