Name
Title | ||
|---|---|---|
Hyperspectral Unmixing Based on Dual-Depth Sparse Probabilistic Latent Semantic Analysis. |
Abstract | ||
|---|---|---|
This paper presents a novel approach for spectral unmixing of remotely sensed hyperspectral data. It exploits probabilistic latent topics in order to take advantage of the semantics pervading the latent topic space when identifying spectral signatures and estimating fractional abundances from hyperspectral images. Despite the contrasted potential of topic models to uncover image semantics, they ha... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TGRS.2018.2837150 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Semantics,Hyperspectral imaging,Probabilistic logic,Data models,Biological system modeling,Computational modeling | Computer vision,Data modeling,Pattern recognition,Hyperspectral imaging,Spectral space,Probabilistic latent semantic analysis,Artificial intelligence,Topic model,Probabilistic logic,Spectral signature,Mathematics,Semantics | Journal |
Volume | Issue | ISSN |
56 | 11 | 0196-2892 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rubén Fernández-Beltran | 1 | 51 | 10.18 |
| Antonio Plaza | 2 | 3475 | 262.63 |
| Javier Plaza | 3 | 561 | 58.04 |
| Filiberto Pla | 4 | 557 | 60.06 |