Efficient subspace clustering of hyperspectral images using similarity-constrained sampling-Reference-Cited by-同舟云学术

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Efficient subspace clustering of hyperspectral images using similarity-constrained sampling

Published:2021-07-27 Issue:03 Volume:15 Page:
ISSN:1931-3195
Container-title:Journal of Applied Remote Sensing
language:
Short-container-title:J. Appl. Rem. Sens.

Author:

Lopez Jhon¹,Hinojosa Carlos¹,Arguello Henry¹

Affiliation:

1. Universidad Industrial de Santander, Department of Computer Science, Bucaramanga

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Earth and Planetary Sciences

Cited by 5 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. Fast low-rank-matrix-based connection center evolution for large hyperspectral image clustering;Infrared Physics & Technology;2023-06

2. Spectral-Spatial Superpixel Anchor Graph-Based Clustering for Hyperspectral Imagery;IEEE Geoscience and Remote Sensing Letters;2023

3. Crop type classification with hyperspectral images using deep learning : a transfer learning approach;Modeling Earth Systems and Environment;2022-11-22

4. Hierarchical Compressed Subspace Clustering Of Infrared Single-Pixel Measurements;2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS);2022-09-13

5. Spectral clustering with anchor graph based on set-to-set distances for large-scale hyperspectral images;International Journal of Remote Sensing;2022-04-03

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