A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
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Updated
Dec 23, 2023 - Jupyter Notebook
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
[CVPR'22] HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening
Rank Minimization for Snapshot Compressive Imaging (TPAMI'19)
Self‑calibrated neuromorphic hyperspectral imaging pipeline for event cameras with diffractive illumination. Includes end‑to‑end tools for RAW segmentation, multi‑window time‑warping compensation, spectral visualization, and hardware control for synchronized event/frame capture and scanning.
A PyTorch implementation of CNN+Vision Transformer for hyperspectral image classification
[SIGGRAPH Asia 2017] High-Quality Hyperspectral Reconstruction Using a Spectral Prior
Measuring the ripeness of fruit with Hyperspectral Imaging and Deep Learning
Developing Low-Cost Multispectral Imagers using Inter-Band Redundancy Analysis and Greedy Spectral Selection in Hyperspectral Imaging. Remote Sensing 2021.
biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images
A Toolbox for Binarized Spectral Compressive Imaging (NeurIPS 2023)
Remote sensed hyperspectral image classification with Spectral-Spatial information provided by the Extended Morphological Profiles
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Matlab Code for: "Non-local Meets Global: An Integrated Paradigm for Hyperspectral Denoising. Arvix. Dec 2018"
An open source Python single-pixel imaging kit for educational and research purposes.
Awesome datasets for hyperspectral imaging research.
An open-source Python library for the analysis of luminescence lifetime and hyperspectral images using the phasor approach.
python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.
Hyperspectral CNN compression and band selection
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