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Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods
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| Published in: | Advanced Modeling and Simulation in Engineering Sciences |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2025
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| Subjects: | |
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| _version_ | 1864030189394067457 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| container_title | Advanced Modeling and Simulation in Engineering Sciences |
| description | |
| discipline_display | Technology & Engineering |
| discipline_facet | Technology & Engineering |
| format | Online Article RSS Article |
| genre | Journal Article |
| id | rss_article:22407 |
| institution | FRELIP |
| journal_source_facet | Advanced Modeling and Simulation in Engineering Sciences |
| publishDate | 2025 |
| publishDateSort | 2025 |
| record_format | rss_article |
| spellingShingle | Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods Simulation Technology & Engineering — Computing Technology & Engineering |
| sub_discipline_display | Technology & Engineering — Computing |
| sub_discipline_facet | Technology & Engineering — Computing |
| subject_display | Simulation Technology & Engineering — Computing Technology & Engineering Simulation Technology & Engineering — Computing Technology & Engineering |
| subject_facet | Simulation Technology & Engineering — Computing Technology & Engineering |
| title | Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods |
| title_auth | Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods |
| title_full | Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods |
| title_fullStr | Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods |
| title_full_unstemmed | Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods |
| title_short | Advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods |
| title_sort | advancing blind hyperspectral unmixing in remote sensing: comparing deep-inspired subspace learning methods |
| topic | Simulation Technology & Engineering — Computing Technology & Engineering |
| url | https://link.springer.com/article/10.1186/s40323-025-00313-6 |