Name
Title | ||
|---|---|---|
Attribute profile based feature space discriminant analysis for spectral-spatial classification of hyperspectral images. |
Abstract | ||
|---|---|---|
•Attribute profile based feature space discriminant analysis (APFSDA) is proposed.•FSDA is developed for spectral-spatial classification of hyperspectral data.•Attribute filters are applied on the most appropriate components for classification purposes.•APFSDA uses the advantages of MLR for classification. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.compeleceng.2016.09.029 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Spectral-spatial classification,Attribute profile,Discriminant analysis,Hyperspectral | Spatial analysis,Optimal discriminant analysis,Data mining,Feature vector,Pattern recognition,Computer science,Hyperspectral imaging,Curse of dimensionality,Artificial intelligence,Linear discriminant analysis,Class discrimination,Principal component analysis | Journal |
Volume | ISSN | Citations |
62 | 0045-7906 | 1 |
PageRank | References | Authors |
0.35 | 11 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maryam Imani | 1 | 61 | 8.65 |
| Hassan Ghassemian | 2 | 396 | 34.04 |