A Fast and Accurate Similarity-Constrained Subspace Clustering Algorithm for Hyperspectral Image

Author:

Hinojosa CarlosORCID,Vera EstebanORCID,Arguello HenryORCID

Funder

Fondo Nacional de Desarrollo Científico y Tecnológico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Cited by 20 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 spectral clustering with local cosine similarity graphs for hyperspectral images;Journal of Applied Remote Sensing;2024-04-09

2. Spatial and Cluster Structural Prior-Guided Subspace Clustering for Hyperspectral Image;IEEE Transactions on Geoscience and Remote Sensing;2024

3. A deep clustering framework integrating pairwise constraints and a VMF mixture model;Electronic Research Archive;2024

4. Multi-sensor Detection and Estimation Fusion by Minimizing Improved Minkowski Distance;2023 7th International Conference on Smart Grid and Smart Cities (ICSGSC);2023-09-22

5. Structured-Anchor Projected Clustering for Hyperspectral Images;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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