Journal
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
Volume 10, Issue 5, Pages 1060-1064Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2012.2228626
Keywords
Building; fault tolerance; high resolution; morphological
Categories
Funding
- National Natural Science Foundation of China [41101336]
- Program for New Century Excellent Talents in University [NCET-11-0396]
- Research Fund for the Doctoral Program of Higher Education of China [20110141120072]
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This letter proposes a novel change detection model, focusing on building change information extraction from urban high-resolution imagery. It consists of two blocks: 1) building interest-point detection, using the morphological building index (MBI) and the Harris detector; and 2) multitemporal building interest-point matching and the fault-tolerant change detection. The proposed method is insensitive to the geometrical differences of buildings caused by different imaging conditions in the multitemporal high-resolution imagery and is able to significantly reduce false alarms. Experiments showed that the proposed method was effective for building change detection from multitemporal urban high-resolution images. Moreover, the effectiveness of the algorithm was validated by comparing with the morphological change vector analysis (CVA), parcel-based CVA, and MBI-based CVA.
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