Diffusion-Based Generative Self-Supervised Model for Few-Shot PolSAR Image Classification-Reference-Cited by-同舟云学术

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Diffusion-Based Generative Self-Supervised Model for Few-Shot PolSAR Image Classification

Published:2024-07-07 Issue: Volume:34 Page:11127-11131
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Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Liu Kang¹,Kuang Zuzheng¹,Jing Shirou²,Bi Haixia¹,Li Yaochen³,Xu Chen⁴

Affiliation:

1. Xi’an Jiaotong University,School of Information and Communications Engineering,Xi’an,China,710049

2. University of Chinese Academy of Science,Beijing,China,100048

3. Xi’an Jiaotong University,School of Software Engineering,Xi’an,China,710049

4. Peng Cheng Laboratory,Department of Mathematics and Fundamental Research,Shenzhen,China,518055

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642798.pdf?arnumber=10642798

Reference29 articles.

1. Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks

2. Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification

3. Polarimetric Convolutional Network for PolSAR Image Classification

4. Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field

5. Progressive Keypoint Detection with Dense Siamese Network for SAR Image Registration

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