Identifying Wet and Dry Snow With Dual-Polarized C-Band SAR Data Based on Markov Random Field Model-Reference-Cited by-同舟云学术

Identifying Wet and Dry Snow With Dual-Polarized C-Band SAR Data Based on Markov Random Field Model

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Liu Chang¹^ORCID,Li Zhen¹^ORCID,Huang Lei¹,Zhang Ping¹^ORCID,Wu Zhipeng²,Zhou Jianmin¹^ORCID,Tang Zhiguang¹,Li Gang³^ORCID

Affiliation:

1. Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China

2. Hunan Provincial Key Laboratory of Geo-Information Engineering in Surveying, Mapping and Remote Sensing, Hunan University of Science and Technology, Xiangtan, China

3. Department of Electronic Engineering, Tsinghua University, Beijing, China

Funder

National Key Research and Development Program of China

International Partnership Program of Chinese Academy of Sciences

Science and Technology Basic Resources Investigation Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/10098801.pdf?arnumber=10098801

Reference19 articles.

1. Design for HMM-based SAR ATR

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3. Spectral signature of alpine snow cover from the landsat thematic mapper

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5. The Divergence and Bhattacharyya Distance Measures in Signal Selection

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