Monitoring of Lake Area Changes from SAR Images Based on Convolutional Neural Networks and Markov Random Field
Author:
Affiliation:
1. Nanjing Research Institute of Electronics Technology,Nanjing,China
Funder
European Space Agency
European Commission
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10027857/10027626/10027918.pdf?arnumber=10027918
Reference17 articles.
1. Automatic Segmentation of River and Land in SAR Images: A Deep Learning Approach
2. Three-Channel Convolutional Neural Network for Polarimetric SAR Images Classification
3. An Efficient Water Segmentation Method for SAR Images [J];muchen;2020 IEEE International Geoscience and Remote Sensing Symposium,0
4. Road Segmentation in SAR Satellite Images With Deep Fully Convolutional Neural Networks
5. Improved Semantic Segmentation of Water Bodies and Land in SAR Images Using Generative Adversarial Networks
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Classification of polarimetric SAR imagery based on improved MRF model using Wishart distance and category confidence-degree;2023 IEEE International Radar Conference (RADAR);2023-11-06
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