shuaikaishi / PGMSU
Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann and Jie Chen, "Probabilistic Generative Model for Hyperspectral Unmixing Accounting for Endmember Variability," in IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-15, 2022, Art no. 5516915, doi: 10.1109/TGRS.2021.3121799.
☆15Updated 2 years ago
Alternatives and similar repositories for PGMSU:
Users that are interested in PGMSU are comparing it to the libraries listed below
- Shuaikai Shi, Lijun Zhang, Yoann Altmann and Jie Chen, "Deep Generative Model for Spatial-spectral Unmixing with Multiple Endmember Prior…☆15Updated 2 years ago
- Multimodal Hyperspectral Unmixing: Insights from Attention Networks, IEEE TGRS, 2022☆39Updated last month
- CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders, IEEE TGRS, 2022☆19Updated 3 years ago
- ☆28Updated 3 years ago
- A complete toolbox for spectral unmixing with spectral variability☆50Updated 2 years ago
- Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net):…☆63Updated 4 months ago
- Matlab code for Fusion of Dual Spatial Information for Hyperspectral Image Classification, 2020, TGRS☆30Updated 2 years ago
- Hyperspectral Target Detection Based on Interpretable Representation Network, TGRS, 2023☆18Updated last year
- [TGRS 2020] The official repo for the paper "Adaptive Spectral-Spatial Multiscale Contextual Feature Extraction for Hyperspectral Image C…☆45Updated last year
- Zhu Han, Jin Yang, Lianru Gao, Zhiqiang Zeng, Bing Zhang, Jocelyn Chanussot. Dual-Branch Subpixel-Guided Network for Hyperspectral Image …☆16Updated last month
- A Fast Neighborhood Grouping Method for Hyperspectral Band Selection☆22Updated 11 months ago
- An autoencoder that performs nonlinear pixel unmixing on hyperspectral images (based on the Fan, Bilinear, PPNM models, and also higher o…☆28Updated 3 years ago
- A superpixel-based relational auto-encoder for feature extraction of hyperspectral images☆13Updated 5 years ago
- A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspe…☆38Updated 3 years ago
- Code for the experiments on the Samson Dataset as presented in the paper: Hyperspectral Unmixing Using a Neural Network Autoencoder (Pals…☆42Updated 3 years ago
- In the hyperspectral unmixing literature, endmember extraction is addressed majorly using three methods i.e. Statistical, Sparse-regressi…☆10Updated 4 years ago
- UnDIP: Hyperspectral Unmixing Using Deep Image Prior☆39Updated 2 years ago
- This repo provides a Matlab implementation of paper “Constrained-Target Band Selection with Subspace Partition for Hyperspectral Target D…☆13Updated last year
- ☆43Updated 6 years ago
- Replication: Triplet Spectralwise Transformer Network for Hyperspectral Target Detection, TGRS, 2023☆10Updated 7 months ago
- A repository for methods by and implemented by the authors' that were used in the paper: Blind Hyperspectral Unmixing using Autoencoders:…☆43Updated 2 years ago
- ☆41Updated last month
- Matlab code of the TGRS paper entitled "Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspect…☆18Updated 3 years ago
- TANet: An Unsupervised Two-Stream Autoencoder Network for Hyperspectral Unmixing☆11Updated last year
- This set of files contains the Matlab code for the SLIC segmentation on the hyperspectral images.☆24Updated 6 years ago
- Ensemble-Based Cascaded Constrained Energy Minimization for Hyperspectral Target Detection☆41Updated 5 years ago
- Hyperspectral CNN compression and band selection☆33Updated 5 years ago
- An Open-Source Hyperspectral Unmixing Python Package☆48Updated 5 months ago
- Hyperspectral Band Selection using Self-Representation Learning with Sparse 1D-Operational Autoencoder (SRL-SOA)☆22Updated 2 years ago
- ☆15Updated 4 years ago