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The Ethereal
Soft Computing Techniques for Change Detection in remotely sensed images : A Review
June 02, 2015 ยท The Cartographer ยท ๐ arXiv.org
"No code URL or promise found in abstract"
"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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