Name
Title | ||
|---|---|---|
Spatially Adaptive Sparse Representation for Target Detection in Hyperspectral Images. |
Abstract | ||
|---|---|---|
As sparse representation gradually obtains better and better results in the analysis of hyperspectral imagery and sparsity-based algorithms are becoming more and more popular, especially in target detection. However, these methods mostly assume an absolute equal contribution by all neighboring pixels while detecting the central pixel. There is no doubt that this approach is unsuitable for pixels l... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LGRS.2017.2732454 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Object detection,Dictionaries,Sparse matrices,Hyperspectral imaging,Detectors,Correlation | Spatial analysis,Object detection,Computer vision,Pattern recognition,Sparse approximation,Hyperspectral imaging,Artificial intelligence,Pixel,Detector,Sparse matrix,Mathematics | Journal |
Volume | Issue | ISSN |
14 | 11 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiming Zhang | 1 | 143 | 37.82 |
| Bo Du | 2 | 1662 | 130.01 |
| Yuxiang Zhang | 3 | 167 | 15.28 |
| Liangpei Zhang | 4 | 5448 | 307.02 |