Nonlinear Endmember Identification for Hyperspectral Imagery via Hyperpath-Based Simplex Growing and Fuzzy Assessment
Nonlinear geometric manifold of hyperspectral data usually makes great trouble for accurate endmember extraction in literature. To address this issue, we propose a novel nonlinear endmember extraction algorithm by building a hypergraph and a fuzzy assessment strategy. The global change of nonlinear...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2020-01-01
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| Col·lecció: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/8962263/ |
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