PolSARConvMixer: A Channel and Spatial Mixing Convolutional Algorithm for PolSAR Data Classification-Reference-Cited by-同舟云学术

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PolSARConvMixer: A Channel and Spatial Mixing Convolutional Algorithm for PolSAR Data Classification

Published:2024-07-07 Issue: Volume:34 Page:11248-11251
ISSN:
Container-title:IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Jamali Ali¹,Roy Swalpa Kumar²,Lu Bing¹,Bhattacharya Avik³,Ghamisi Pedram⁴

Affiliation:

1. Simon Fraser University,Department of Geography,Burnaby,Canada,V5A 1S6

2. Alipurduar Government Engineering and Management College,Department of Computer Science and Engineering,West Bengal,India,736206

3. Indian Institute of Technology Bombay,Microwave Remote Sensing Lab Centre of Studies in Resources Engineering,Mumbai,India,400076

4. Helmholtz Institute Freiberg for Resource Technology,Helmholtz-Zentrum Dresden-Rossendorf (HZDR),Freiberg,Germany,09599

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642190.pdf?arnumber=10642190

Reference12 articles.

1. Comparison of different polarimetric decompositions for soil moisture retrieval over vegetation covered agricultural area

2. ImageNet classification with deep convolutional neural networks

3. Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks

4. PolSAR Image Classification Based on Deep Convolutional Neural Networks Using Wavelet Transformation

5. Polarimetric Convolutional Network for PolSAR Image Classification

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