Name
Title | ||
|---|---|---|
Hyperspectral Image Classification Using Joint Sparse Model and Discontinuity Preserving Relaxation. |
Abstract | ||
|---|---|---|
As a promising signal processing technique, a joint sparse model (JSM) has been used to integrate spatial and spectral information in the classification of remotely sensed images. This technique defines a local region of a fixed window size and assumes an equal contribution from each neighborhood pixel in the classification process of the test pixel. However, equal weighting is less reasonable for... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LGRS.2017.2774253 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Dictionaries,Hyperspectral imaging,Probability distribution,Silicon,Probabilistic logic,Matching pursuit algorithms | Signal processing,Computer vision,Weighting,Classification of discontinuities,Pattern recognition,Discontinuity (linguistics),Hyperspectral imaging,Probability distribution,Artificial intelligence,Pixel,Probabilistic logic,Mathematics | Journal |
Volume | Issue | ISSN |
15 | 1 | 1545-598X |
Citations | PageRank | References |
1 | 0.35 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qishuo Gao | 1 | 13 | 1.90 |
| Samsung Lim | 2 | 68 | 12.02 |
| Xiuping Jia | 3 | 1424 | 126.54 |