Name
Title | ||
|---|---|---|
Spectral-Spatial Hyperspectral Image Classification Using a Multiscale Conservative Smoothing Scheme and Adaptive Sparse Representation |
Abstract | ||
|---|---|---|
Spatial information has been demonstrated to be useful for hyperspectral images (HSIs) classification. The challenge is that spatial properties are often present at various spatial scales instead of a single fixed scale. A multiscale conservative smoothing algorithm is proposed in this paper to reduce noise and extract spatial structure information from coarse to fine levels. Over-smoothing is pre... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TGRS.2019.2915809 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Smoothing methods,Probabilistic logic,Dictionaries,Hyperspectral imaging,Matching pursuit algorithms,Adaptation models | Spatial analysis,Computer vision,Data set,Multi-task learning,Pattern recognition,Sparse approximation,Hyperspectral imaging,Smoothing,Artificial intelligence,Pixel,Probabilistic logic,Mathematics | Journal |
Volume | Issue | ISSN |
57 | 10 | 0196-2892 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qishuo Gao | 1 | 13 | 1.90 |
| Samsung Lim | 2 | 68 | 12.02 |
| Xiuping Jia | 3 | 1424 | 126.54 |