There are 49 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".
Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
Pytorch implementation of Multimodal Fusion Transformer for Remote Sensing Image Classification.
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
Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"
Topological Structure and Semantic Information Transfer Network for Cross-Scene Hyperspectral Image Classification. IEEE TNNLS, 2021.
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
paper:Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification
Semi-Supervised Hyperspectral Image Classification
Source code of "A Single Model CNN for Hyperspectral Image Denoising"
[IEEE GRSL] - DARecNet-BS: Unsupervised Dual Attention Reconstruction Network for Hyperspectral Band Selection
Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks
HSI and LiDAR image fusion based on Deep Learning
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
Measuring the ripeness of fruit with Hyperspectral Imaging and Deep Learning
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
PyTorch implementation of the paper - Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution