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Unsupervised Change Detection in Satellite Images using Oversegmentation and Mutual Information
Date
2017-05-18
Author
Taskesen, Bahar
Besbinar, Beril
Koz, Alper
Alatan, Abdullah Aydın
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In this paper, a novel solution to the problem of unsupervised change detection in bitemporal satellite images is presented. Information measures, which are well-known and commonly-used in the change detection literature, result in unsharp change maps and masks without well defined boundaries as a result of local computation. In the proposed method, mutual information with local joint distributions computed within the over-segments after image registration, radiometric correction and some preprocessing steps are observed to eliminate the problem of sharpness. Results, which are presented comparatively with fundamental approaches, show that the change masks obtained by the proposed method are convenient for different application areas, such as damage assesment of man made structures after natural disasters, and/or urban planning.
Subject Keywords
Change detection
,
Mutual information
,
Oversegmentation
URI
https://hdl.handle.net/11511/55940
Conference Name
25th Signal Processing and Communications Applications Conference (SIU)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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B. Taskesen, B. Besbinar, A. Koz, and A. A. Alatan, “Unsupervised Change Detection in Satellite Images using Oversegmentation and Mutual Information,” presented at the 25th Signal Processing and Communications Applications Conference (SIU), Antalya, TURKEY, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55940.