A Soft Shadow Detection Method Based on MRF for Remote Sensing Images
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,...
Main Authors: | Pengwei Li, Wenying Ge |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/404095 |
Similar Items
-
CHANGE DETECTION OF REMOTE SENSING IMAGES BY DT-CWT AND MRF
by: S. Ouyang, et al.
Published: (2017-05-01) -
Shadow Detection in High Resolution Remote Sensing Images
by: Shih-Chieh Huang, et al.
Published: (2012) -
A Bilevel Contextual MRF Model for Supervised Classification of High Spatial Resolution Remote Sensing Images
by: Yu Shen, et al.
Published: (2019-01-01) -
An Automatic Shadow Detection Method for VHR Remote Sensing Orthoimagery
by: Qiongjie Wang, et al.
Published: (2017-05-01) -
The Study of Shadow Detection and Compensation for Remotely Sensed Images Based on Color Constancy
by: Chih-Hung Chen, et al.
Published: (2010)