Land Cover Classification of SAR Based on 1DCNN-MRF Model Using Improved Dual-Polarization Radar Vegetation Index

Land Cover Classification of SAR Based on 1DCNN-MRF Model Using Improved Dual-Polarization Radar Vegetation Index

Accurate land cover classification (LCC) is essential for studying global change. Synthetic aperture radar (SAR) has been used for LCC due to its advantage of weather independence. In particular, the dual-polarization (dual-pol) SAR data have a wider coverage and are easier to obtain, which provides...

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Bibliographic Details
Main Authors: Yabo Huang, Mengmeng Meng, Zhuoyan Hou, Lin Wu, Zhengwei Guo, Xiajiong Shen, Wenkui Zheng, Ning Li
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
land cover classification
DpRVI<sub>m</sub>
MRF
synthetic aperture radar (SAR)
deep learning
feature combination
Online Access:https://www.mdpi.com/2072-4292/15/13/3221

Internet

https://www.mdpi.com/2072-4292/15/13/3221

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