Hyperspectral Image Classification for Agricultural Applications
Author:
Affiliation:
1. Velagapudi Ramakrishna Siddhartha Engineering College,Department of Information Technology,Vijayawada,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751779/9751722/09751902.pdf?arnumber=9751902
Reference20 articles.
1. Principal Component Analysis
2. Hyperspectral Image Classification Method Based on 2D–3D CNN and Multibranch Feature Fusion
3. Joint spatial-spectral hyperspectral image classification based on convolutional neural network
4. FuSENet: fused squeeze‐and‐excitation network for spectral‐spatial hyperspectral image classification
5. Deep Learning for Hyperspectral Image Classification: An Overview
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4. Dimensionality Reduction Technique for Hyperspectral Remote Sensing Image Classification;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01
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