Name
Title | ||
|---|---|---|
Probabilistic-Kernel Collaborative Representation for Spatial-Spectral Hyperspectral Image Classification. |
Abstract | ||
|---|---|---|
This paper presents a new approach for accurate spatial-spectral classification of hyperspectral images, which consists of three main steps. First, a pixelwise classifier, i.e., the probabilistic-kernel collaborative representation classification (PKCRC), is proposed to obtain a set of classification probability maps using the spectral information contained in the original data. This is achieved b... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TGRS.2015.2500680 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Hyperspectral imaging,Training,Kernel,Probabilistic logic,Adaptation models,Encoding | Spatial analysis,Kernel (linear algebra),Computer vision,Data set,Pattern recognition,A priori and a posteriori,Hyperspectral imaging,Artificial intelligence,Probabilistic logic,Classifier (linguistics),Mathematics,Encoding (memory) | Journal |
Volume | Issue | ISSN |
54 | 4 | 0196-2892 |
Citations | PageRank | References |
13 | 0.53 | 28 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianjun Liu | 1 | 46 | 6.47 |
| Zebin Wu | 2 | 260 | 30.82 |
| Jun Li | 3 | 1360 | 97.59 |
| Antonio Plaza | 4 | 3475 | 262.63 |
| Yun-Hao Yuan | 5 | 235 | 22.18 |