Soft Computing Techniques for Change Detection in remotely sensed images : A Review

June 02, 2015 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
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"Title-pattern auto-detect: Soft Computing Techniques for Change Detection in remotely sensed images : A Review"

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Authors Madhu Khurana, Vikas Saxena arXiv ID 1506.00768 Category cs.NE: Neural & Evolutionary Cross-listed cs.CV Citations 5 Venue arXiv.org Last Checked 3 days ago
Abstract
With the advent of remote sensing satellites, a huge repository of remotely sensed images is available. Change detection in remotely sensed images has been an active research area as it helps us understand the transitions that are taking place on the Earths surface. This paper discusses the methods and their classifications proposed by various researchers for change detection. Since use of soft computing based techniques are now very popular among research community, this paper also presents a classification based on learning techniques used in soft-computing methods for change detection.
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