Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning
Joint Authors
Xu, Yuan
Ding, Kun
Huo, Chunlei
Zhong, Zisha
Li, Haichang
Pan, Chunhong
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Very high resolution (VHR) image change detection is challenging due to the low discriminative ability of change feature and the difficulty of change decision in utilizing the multilevel contextual information.
Most change feature extraction techniques put emphasis on the change degree description (i.e., in what degree the changes have happened), while they ignore the change pattern description (i.e., how the changes changed), which is of equal importance in characterizing the change signatures.
Moreover, the simultaneous consideration of the classification robust to the registration noise and the multiscale region-consistent fusion is often neglected in change decision.
To overcome such drawbacks, in this paper, a novel VHR image change detection method is proposed based on sparse change descriptor and robust discriminative dictionary learning.
Sparse change descriptor combines the change degree component and the change pattern component, which are encoded by the sparse representation error and the morphological profile feature, respectively.
Robust change decision is conducted by multiscale region-consistent fusion, which is implemented by the superpixel-level cosparse representation with robust discriminative dictionary and the conditional random field model.
Experimental results confirm the effectiveness of the proposed change detection technique.
American Psychological Association (APA)
Xu, Yuan& Ding, Kun& Huo, Chunlei& Zhong, Zisha& Li, Haichang& Pan, Chunhong. 2015. Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1079316
Modern Language Association (MLA)
Xu, Yuan…[et al.]. Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning. The Scientific World Journal No. 2015 (2015), pp.1-15.
https://search.emarefa.net/detail/BIM-1079316
American Medical Association (AMA)
Xu, Yuan& Ding, Kun& Huo, Chunlei& Zhong, Zisha& Li, Haichang& Pan, Chunhong. Multiscale Region-Level VHR Image Change Detection via Sparse Change Descriptor and Robust Discriminative Dictionary Learning. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-15.
https://search.emarefa.net/detail/BIM-1079316
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1079316