CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification-Reference-Cited by-同舟云学术

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CSA-Net: An Adaptive Binary Neural Network and Application on Remote Sensing Image Classification

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Gao Weifeng¹^ORCID,Tan Menghao¹,Li Hong¹^ORCID,Xie Jin¹^ORCID,Gao Xiaoli²,Gong Maoguo³^ORCID

Affiliation:

1. School of Mathematics and Statistics, Xidian University, Xian, China

2. Sichuan Jiuzhou Electronic Group Company Ltd., Mianyang, China

3. Key Laboratory of Intelligent Perception and Image Understanding, International Research Center for Intelligent Perception and Computation, Ministry of Education, Xidian University, Xian, China

Funder

National Nature Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10568208.pdf?arnumber=10568208

Reference57 articles.

1. Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

2. A Review of Motion Planning for Highway Autonomous Driving

3. Fusing Deep Local and Global Features for Remote Sensing Image Scene Classification

4. Deep Feature Fusion for VHR Remote Sensing Scene Classification

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