Active Diffusion and VCA-Assisted Image Segmentation of Hyperspectral Images
Author:
Affiliation:
1. Tufts University,Department of Mathematics
2. City University of Hong Kong,Department of Mathematics
3. Wake Forest University,Departments of Mathematics and Computer Science
Funder
National Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883894.pdf?arnumber=9883894
Reference17 articles.
1. A Simplex Volume Maximization Framework for Hyperspectral Endmember Extraction
2. A Survey of Active Learning Algorithms for Supervised Remote Sensing Image Classification
3. Active Learning With Convolutional Neural Networks for Hyperspectral Image Classification Using a New Bayesian Approach
4. Learning by active nonlinear diffusion
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Superpixel-Based and Spatially Regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering;IEEE Transactions on Geoscience and Remote Sensing;2024
2. Unsupervised Spatial-Spectral Hyperspectral Image Reconstruction And Clustering With Diffusion Geometry;2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2022-09-13
3. Unsupervised Detection of ASH Dieback Disease (Hymenoscyphus Fraxineus) Using Diffusion-Based Hyperspectral Image Clustering;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17
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