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Classification of Hyperspectral Images Using SVM with Shape-adaptive
  Reconstruction and Smoothed Total Variation
v1v2v3 (latest)

Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation

29 March 2022
R. Li
Kangning Cui
Raymond H. F. Chan
R. Plemmons
ArXiv (abs)PDFHTML

Papers citing "Classification of Hyperspectral Images Using SVM with Shape-adaptive Reconstruction and Smoothed Total Variation"

4 / 4 papers shown
Title
Superpixel-based and Spatially-regularized Diffusion Learning for
  Unsupervised Hyperspectral Image Clustering
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
Kangning Cui
R. Li
Sam L. Polk
Yinyi Lin
Hongsheng Zhang
James M. Murphy
R. Plemmons
Raymond H. Chan
DiffM
71
27
0
24 Dec 2023
Semi-supervised Change Detection of Small Water Bodies Using RGB and
  Multispectral Images in Peruvian Rainforests
Semi-supervised Change Detection of Small Water Bodies Using RGB and Multispectral Images in Peruvian Rainforests
Kangning Cui
Seda Camalan
R. Li
V. Pauca
Sarra M. Alqahtani
R. Plemmons
Miles Silman
E. Dethier
D. Lutz
Raymond H. F. Chan
38
6
0
19 Jun 2022
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and
  Clustering with Diffusion Geometry
Unsupervised Spatial-spectral Hyperspectral Image Reconstruction and Clustering with Diffusion Geometry
Kangning Cui
R. Li
Sam L. Polk
James M. Murphy
R. Plemmons
Raymond H. F. Chan
DiffM
44
6
0
28 Apr 2022
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification
A 3-stage Spectral-spatial Method for Hyperspectral Image Classification
Raymond H. F. Chan
R. Li
42
9
0
20 Apr 2022
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