Hyperspectral-Classification Pytorch

Python module for hyperspectral image processing

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".

Code of paper "Deep Learning Classifiers for Hyperspectral Imaging: A Review"

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

[IEEE TGRS 2018] Spectral-Spatial Unified Networks for Hyperspectral Image Classification

FPGA: Fast Patch-Free Global Learning Framework for Fully End-to-End Hyperspectral Image Classification (TGRS 2020) https://ieeexplore.ieee.org/document/9007624

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification(Remote Sensing 2018)

L. Sun, G. Zhao, Y. Zheng, and Z. Wu. "Spectral–Spatial Feature Tokenization Transformer for Hyperspectral Image Classification," in IEEE TGRS, 2022.

Learning Sensor-Specific Spatial-Spectral Features of Hyperspectral Images via Convolutional Neural Networks

Spectral-Spatial Attention Network for Hyperspectral Image Classification

[IEEE TBD 2020] Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification

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.

Source code of "Deep Pyramidal Residual Networks for Spectral–Spatial Hyperspectral Image Classification"

The official repo for the paper "HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model"

paper：Three-dimensional densely connected convolutional network for hyperspectral remote sensing image classification

Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands

HSI and LiDAR image fusion based on Deep Learning

An implementation of the neural network described in "Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification"

Measuring the ripeness of fruit with Hyperspectral Imaging and Deep Learning