Vikki23 / Demo_SSAL_SDP
Demo for the proposed SSAL-SDP method, i.e., superpixel-based semisupervised active learning (SSAL) method with the density peak (DP) augmentation, for the hyperspectral image classification.
☆17Updated 6 years ago
Alternatives and similar repositories for Demo_SSAL_SDP:
Users that are interested in Demo_SSAL_SDP are comparing it to the libraries listed below
- polwork / Learning-and-Transferring-Deep-Joint-Spectral-Spatial-Features-for-Hyperspectral-Classificationcode for paper "Learning and Transferring Deep Joint Spectral-Spatial Features for Hyperspectral Classification"☆14Updated 6 years ago
- A superpixel-based relational auto-encoder for feature extraction of hyperspectral images☆13Updated 5 years ago
- This is a code set for spectral-spatial hyperpsectral classifcation, including the EMAP, Gabor, LORSAL, LibSVM, MRF, and LBP methods.☆63Updated last year
- This set of files contains the Matlab code for the SLIC segmentation on the hyperspectral images.☆24Updated 6 years ago
- zcy179 / MATLAB-codes-for-Hyperspectral-Image-Classification-With-Small-Training-Sample-Size-Using-Superpix-MATLAB codes for paper : ZHENG C, WANG N, CUI J. Hyperspectral Image Classification With Small Training Sample Size Using Superpixel-Guid…☆10Updated 5 years ago
- Matlab code for Fusion of Dual Spatial Information for Hyperspectral Image Classification, 2020, TGRS☆30Updated 2 years ago
- Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN, JSTARS, 2020☆10Updated 4 years ago
- ☆20Updated 5 years ago
- ☆43Updated 6 years ago
- Hyperspectral image classification☆21Updated 7 years ago
- This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".☆42Updated 5 years ago
- A Comparison of Supervised and Unsupervised Dimension Reduction Methods for Hyperspectral Image Classification.☆17Updated 5 years ago
- Hyperspectral image classification with varies image processing and machine learning methods.☆23Updated 7 years ago
- Hyperspectral image classification by exploring deep tensor facorization, published in IGARSS 2018.☆16Updated 6 years ago
- CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders, IEEE TGRS, 2022☆19Updated 3 years ago
- GatorSense Hyperspectral Image Analysis Toolkit☆31Updated 5 years ago
- Matlab code of the TGRS paper entitled "Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspect…☆18Updated 4 years ago
- A Novel Band Selection and Spatial Noise Reduction Method for Hyperspectral Image Classification, TGRS, 2022☆9Updated 2 years ago
- xf-zh / Hyperspectral-Image-Classification-via-Fusing-Correlation-Coefficient-and-Joint-Sparse-Representatiothe code of ''Hyperspectral Image Classification via Fusing Correlation Coefficient and Joint Sparse Representation''☆26Updated 3 weeks ago
- A deep learning-based method for hyperspectral image classification, which published in IEEE Trans. Geosci. Remote Sens., 2018.☆30Updated 3 years ago
- The code of the paper "Flexible Gabor-based Superpixel-level Unsupervised LDA for Hyperspectral Image Classification".☆14Updated 4 years ago
- 将各个高光谱图像分类文献（2016-2019，TGRS、JSTARS、GRSL、RS、ISPRS、IJRS、JARS）结果按照同条件进行比较，并进行了总体的评分☆10Updated 5 years ago
- Multi-direction Networks with Attentional Spectral Prior for Hyperspectral Image Classification, TGRS, 2021.☆21Updated 2 years ago
- Matlab code for Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation, JSTARS, 2019☆12Updated 2 years ago
- An open package for supervised hyperspectral image classification task.☆9Updated 5 years ago
- Band Selection☆18Updated 4 years ago
- Hyperspectral image unmixing.☆38Updated 7 years ago
- Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson. Feature Extraction for …☆18Updated 3 years ago
- Multiscale Context-aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification, TGRS, 2020.☆13Updated 2 years ago
- Shuaikai Shi, Min Zhao, Lijun Zhang, Yoann Altmann and Jie Chen, "Probabilistic Generative Model for Hyperspectral Unmixing Accounting fo…☆15Updated 3 years ago