Spectral-Spatial Classification Of Hyperspectral Images With Multi-Level Cnn
Author:
Affiliation:
1. Indian Institute of Technology,Centre of Studies in Resources Engineering,Bombay,India
2. Indian Institute of Remote Sensing, ISRO,Dehradun,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9955031/9955024/09955063.pdf?arnumber=9955063
Reference19 articles.
1. HybridSN: Exploring 3-D–2-D CNN Feature Hierarchy for Hyperspectral Image Classification
2. Supervised Linear Discriminant Analysis for Dimension Reduction and Hyperspectral Image Classification Method Based on 2D-3D CNN
3. A 3d-Deep CNN Based Feature Extraction and Hyperspectral Image Classification
4. A Novel Classification Framework for Hyperspectral Image Classification Based on Multiscale Spectral-Spatial Convolutional Network
5. Adaptive Markov Random Field Approach for Classification of Hyperspectral Imagery
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1. A Deep Spectral–Spatial Residual Attention Network for Hyperspectral Image Classification;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
2. Research on Hyperspectral Image Classification Algorithm Based on Transformer Model;Modeling and Simulation;2024
3. Multiple vision architectures-based hybrid network for hyperspectral image classification;Expert Systems with Applications;2023-12
4. A Spectral-Spatial Classification Network for Hyperspectral Images using a Residual Attention Network;2023 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2023-10-31
5. A Shuffled Dilated Convolutional Neural Network for Hyperspectral Image using Transfer Learning;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
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