Journal
REMOTE SENSING OF ENVIRONMENT
Volume 201, Issue -, Pages 243-255Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.rse.2017.09.022
Keywords
High-resolution remote sensing; Object-based change detection; Multi-temporal segmentation; Spatial correspondence; Object-to-object change
Funding
- National Natural Science Foundation of China [41601366]
- National Science and Technology Major Project of China [21-Y20A06-9001-17/18]
- Natural Science Foundation of Jiangsu Province [BK20160623]
- Fundamental Research Funds for the Central Universities [020914380023, 020914380040]
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High-resolution (HR) remote sensing images present geometric details of land surface. Object-based change detection (OBCD) provides an effective solution to reveal detailed changes of geographic objects in HR images. In OBCD, the separate segmentation strategy holds the potential of revealing specific object-to-object changes, but it is difficult to establish spatial correspondence between distinct multi-temporal segments. To overcome this difficulty, we proposed to first detect multi-temporal changed objects based on separate segmentations and then to establish spatial correspondence between changed objects at different phases. Three separate segmentation strategies, named as SIISeg, SAISeg, and SAOSeg, are compared to indicate the importance of associating separate segmentation procedures for successive spatial correspondence establishment. The experiments of detecting building changes in urban area are performed to demonstrate the success, benefits, and potentials of establishing spatial correspondence for object-to-object change detection.
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