A Spectral Variability and Class-Constrained Diffusion Model for Unsupervised Hyperspectral Unmixing
Hyperspectral remote sensing is increasingly utilized due to its high spectral resolution and broad observational capabilities, and hyperspectral unmixing aims to decompose mixed pixels into their constituent endmembers with corresponding classes. The core research directions in this area include ho...
保存先:
| 主要な著者: | , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI AG
2026-05-01
|
| シリーズ: | Remote Sensing |
| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/2072-4292/18/10/1483 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|