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An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images
Joint Authors
Deng, Ka-zhong
Hao, Ming
Shi, Wenzhong
Zhang, Hua
He, Pengfei
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-06
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This paper proposes an object-based approach to supervised change detection using uncertainty analysis for very high resolution (VHR) images.
First, two temporal images are combined into one image by band stacking.
Then, on the one hand, the stacked image is segmented by the statistical region merging (SRM) to generate segmentation maps; on the other hand, the stacked image is classified by the support vector machine (SVM) to produce a pixel-wise change detection map.
Finally, the uncertainty analysis for segmented objects is implemented to integrate the segmentation map and pixel-wise change map at the appropriate scale and generate the final change map.
Experiments were carried out with SPOT 5 and QuickBird data sets to evaluate the effectiveness of proposed approach.
The results indicate that the proposed approach often generates more accurate change detection maps compared with some methods and reduces the effects of classification and segment scale on the change detection accuracy.
The proposed method supplies an effective approach for the supervised change detection for VHR images.
American Psychological Association (APA)
Hao, Ming& Shi, Wenzhong& Deng, Ka-zhong& Zhang, Hua& He, Pengfei. 2016. An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images. Journal of Sensors،Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1110674
Modern Language Association (MLA)
Hao, Ming…[et al.]. An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images. Journal of Sensors No. 2016 (2016), pp.1-17.
https://search.emarefa.net/detail/BIM-1110674
American Medical Association (AMA)
Hao, Ming& Shi, Wenzhong& Deng, Ka-zhong& Zhang, Hua& He, Pengfei. An Object-Based Change Detection Approach Using Uncertainty Analysis for VHR Images. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-17.
https://search.emarefa.net/detail/BIM-1110674
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110674