Land cover classification combining Sentinel-1 and Landsat 8 imagery driven by Markov random field with amendment reliability factors
Abstract Reliability factors in Markov random field (MRF) could be used to improve classification performance for synthetic aperture radar (SAR) and optical images; however, insufficient utilization of reliability factors based on characteristics of different sources leaves more room for classificat...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-05-01
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Series: | EURASIP Journal on Wireless Communications and Networking |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13638-020-01713-5 |