A Multiple Branch Fusion Network for Feature Learning and Hyperspectral Image Classification-Reference-Cited by-同舟云学术

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A Multiple Branch Fusion Network for Feature Learning and Hyperspectral Image Classification

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Kanthi Murali¹,Rao K. Venkateshwara²,Pavani K Sudha¹,Bhaskar Nuthanakanti¹,Bhukya Shankar Nayak³,Hitendra Sarma T.⁴

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307827.pdf?arnumber=10307827

Reference16 articles.

1. Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification

2. H2A2Net: A Hybrid Convolution and Hybrid Resolution Network with Double Attention for Hyperspectral Image Classification

3. Multi-scale 3D-convolutional neural network for hyperspectral image classification

4. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification

5. Consolidated Convolutional Neural Network for Hyperspectral Image Classification

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