3D-CAN: A 3D Convolution Attention Network for Feature Extraction and Classification of Hyperspectral Images-Reference-Cited by-同舟云学术

3D-CAN: A 3D Convolution Attention Network for Feature Extraction and Classification of Hyperspectral Images

Published:2023-09-01 Issue: Volume: Page:
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Container-title:2023 International Conference on Network, Multimedia and Information Technology (NMITCON)
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Author:

Kanthi Murali¹,Rao K. Venkateshwara²,Sekhar Reddy L. Chandra³,Sarma T. Hitendra⁴,Bhaskar Nuthanakanti⁵,Vasundhara Nam¹

Affiliation:

1. CMR Technical Campus,Dept. of Computer Science & Engineering (Data Science),Hyderabad,Telangana,India

2. CMR College of Engineering & Technology,Dept. of Computer Science & Engineering,Hyderabad,Telangana,India

3. CMR College of Engineering & Technology Engineering,Dept. of Computer Science & Engineering (Data Science),Hyderabad,Telangana

4. Vasavi College of Engineering,Dept. of Information Technology,Hyderabad,Telangana,India

5. CMR Technical Campus,Dept. of Computer Science & Engineering,Hyderabad,Telangana,India

Publisher

IEEE

Link

Reference18 articles.

3. Synergistic 2D/3D convolutional neural network for hyperspectral image classification;yang;Remote Sens,2033

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