Python module for hyperspectral image processing

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

HSIMAE: A Unified Masked Autoencoder with large-scale pretraining for Hyperspectral Image Classification

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

[IEEE TGRS 2024] S3ANet: Spatial-Spectral Self-Attention Learning Network for Defending Against Adversarial Attacks in Hyperspectral Image Classification

A New Context-Aware Framework for Defending Against Adversarial Attacks in Hyperspectral Image Classification (IEEE TGRS 2023)

Code for Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken, ECCV 2024

Code repository for Scheibenreif, L., Mommert, M., & Borth, D. (2023). Masked Vision Transformers for Hyperspectral Image Classification, In CVPRW EarthVision 2023

Custom keras layers for hyperspectral data and RNNs

A slim implementation of Self-Pooling Transformer for hyperspectral image classification.

Classification of alien invasive plants from hyperspectral data from point localities

Comparative analysis of different feature extraction techniques for hyperspectral image classification.

A Computationally Efficient HybridSN with Inception Model

Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging.

[TCSVT 2022] Official implementation for 'Exploring the Relationship between Center and Neighborhoods: Central Vector Oriented Self-Similarity Network for Hyperspectral Image Classification'

[TGRS 2023] Official implementation for 'Adaptive Mask Sampling and Manifold to Euclidean Subspace Learning with Distance Covariance Representation for Hyperspectral Image Classification'

Code (Pytorch) of "Data and knowledge-driven deep multiview fusion network based on diffusion model for hyperspectral image classification" ESWA-03/2024 Accepted.

Hyper Spectral Image Classification using Machine Learning Methods

A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards