Adversarial Network With Higher Order Potential Conditional Random Field for PolSAR Image Classification-Reference-Cited by-同舟云学术

Adversarial Network With Higher Order Potential Conditional Random Field for PolSAR Image Classification

Published:2024 Issue: Volume:17 Page:1795-1812
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhang Zheng¹^ORCID,Guo Hui²,Yang Jingsong³^ORCID,Wang Xianggang¹,Du Yang¹^ORCID

Affiliation:

1. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China

2. 503 Institute, China Academy of Space Technology, Beijing, China

3. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China

Funder

National Key Research and Development Program of China

China National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference77 articles.

4. Efficient inference in fully connected CRFs with Gaussian edge potentials;Krahenbuhl,2011

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