Name
Abstract | ||
|---|---|---|
This letter presents advanced classification methods for very high resolution images. Efficient multisource information, both spectral and spatial, is exploited through the use of composite kernels in support vector machines. Weighted summations of kernels accounting for separate sources of spectral and spatial information are analyzed and compared to classical approaches such as pure spectral cla... |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/LGRS.2009.2015341 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Kernel,Spatial resolution,Image resolution,Support vector machines,Support vector machine classification,Optical filters,Satellites,Risk analysis,Information analysis,Machine learning | Spatial analysis,Kernel (linear algebra),Stellar classification,Pattern recognition,Computer science,Multiple kernel learning,Support vector machine,Model selection,Artificial intelligence,Contextual image classification,Image resolution | Journal |
Volume | Issue | ISSN |
7 | 1 | 1545-598X |
Citations | PageRank | References |
42 | 1.84 | 11 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Devis Tuia | 1 | 1715 | 101.88 |
| Frédéric Ratle | 2 | 332 | 25.31 |
| Alexei Pozdnoukhov | 3 | 216 | 18.87 |
| Gustavo Camps-Valls | 4 | 2011 | 114.02 |