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A Soft Shadow Detection Method Based on MRF for Remote Sensing Images
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-10-04
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Shadows limit many remote sensing applications such as classification, target detection, and change detection.
Most current shadow detection methods utilize the histogram threshold of spectral characteristics to distinguish the shadows and nonshadows directly, called “hard binary shadow.” Obviously, the performance of threshold-based methods heavily rely on the selected threshold.
Simultaneously, these threshold-based methods do not take any spatial information into account.
To overcome these shortcomings, a soft shadow description method is developed by introducing the concept of opacity into shadow detection, and MRF-based shadow detection method is proposed in order to make use of neighborhood information.
Experiments on remote sensing images have shown that the proposed method can obtain more accurate detection results.
American Psychological Association (APA)
Li, Pengwei& Ge, Wenying. 2015. A Soft Shadow Detection Method Based on MRF for Remote Sensing Images. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073741
Modern Language Association (MLA)
Li, Pengwei& Ge, Wenying. A Soft Shadow Detection Method Based on MRF for Remote Sensing Images. Mathematical Problems in Engineering No. 2015 (2015), pp.1-11.
https://search.emarefa.net/detail/BIM-1073741
American Medical Association (AMA)
Li, Pengwei& Ge, Wenying. A Soft Shadow Detection Method Based on MRF for Remote Sensing Images. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-11.
https://search.emarefa.net/detail/BIM-1073741
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073741