There are 57 repositories under hyperspectral-image-classification topic.
Python module for hyperspectral image processing
Hyperspectral-Classification Pytorch
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
This is a tensorflow and keras based implementation of SSRNs in the IEEE T-GRS paper "Spectral-Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework".
Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624
L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.
A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(Remote Sensing 2018)
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
Hyperspectral image Target Detection based on Sparse Representation
[IEEE TGRS 2018] Spectral-Spatial Unified Networks for Hyperspectral Image Classification
Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.
S. Liu, Q. Shi and L. Zhang, "Few-Shot Hyperspectral Image Classification With Unknown Classes Using Multitask Deep Learning," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2020.3018879.
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification. IEEE TNNLS, 2021.
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
Language-aware Domain Generalization Network for Cross-Scene Hyperspectral Image Classification, IEEE TGRS, 2023.
Measuring the ripeness of fruit with Hyperspectral Imaging and Deep Learning
paper:Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification
Semi-Supervised Hyperspectral Image Classification
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
[TGRS 2020] The official repo for the paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image Classification".
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".
Source code of "A Single Model CNN for Hyperspectral Image Denoising"
[IEEE TBD 2020] Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification
[IEEE GRSL] - DARecNet-BS: Unsupervised Dual Attention Reconstruction Network for Hyperspectral Band Selection
[TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'
HSI and LiDAR image fusion based on Deep Learning