Name
Title | ||
|---|---|---|
Hyperspectral Imagery Semantic Interpretation Based on Adaptive Constrained Band Selection and Knowledge Extraction Techniques. |
Abstract | ||
|---|---|---|
In this paper, we propose a novel adaptive band selection approach for hyperspectral image semantic interpretation. This approach is based on constrained band selection (CBS) method and extracted knowledge coming from tensor locality preserving projection. The extracted knowledge is presented as a set of rules which are used to evaluate the importance of spectral bands for classes discrimination. ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/JSTARS.2018.2798661 | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Keywords | Field | DocType |
Tensile stress,Feature extraction,Semantics,Hyperspectral imaging,Correlation,Principal component analysis | Computer vision,Locality,Pattern recognition,Semantic interpretation,Hyperspectral imaging,Feature extraction,Knowledge extraction,Artificial intelligence,Real image,Spectral bands,Semantics,Mathematics | Journal |
Volume | Issue | ISSN |
11 | 4 | 1939-1404 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akrem Sellami | 1 | 0 | 0.34 |
| Farah, M. | 2 | 14 | 5.37 |
| Imed Riadh Farah | 3 | 86 | 26.16 |
| Basel Solaiman | 4 | 127 | 35.05 |