Title | ||
---|---|---|
On the Use of Feature Selection for Classifying Multitemporal Radarsat-1 Images for Forest Mapping. |
Abstract | ||
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As the number of satelliteborne SAR systems increases, both the availability and the length of multitemporal (MT) sequences of SAR images have also increased. Reported research with MT SAR sequences suggests that they increase the classification accuracy for all applications over single-date images. The length of the MT SAR sequences reported in the literature is still quite modest: on the order o... |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/LGRS.2011.2140311 | IEEE Geoscience and Remote Sensing Letters |
Keywords | Field | DocType |
Accuracy,Remote sensing,Speckle,Spatial resolution,Synthetic aperture radar,Feature extraction,Scattering | Time series,Feature selection,Synthetic aperture radar,Remote sensing,Artificial intelligence,Contextual image classification,Computer vision,Radar imaging,Pattern recognition,Feature extraction,SIMPLE algorithm,Image resolution,Mathematics | Journal |
Volume | Issue | ISSN |
8 | 5 | 1545-598X |
Citations | PageRank | References |
2 | 0.38 | 12 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yasser Maghsoudi | 1 | 64 | 10.26 |
Michael J. Collins | 2 | 163 | 24.59 |
Donald G. Leckie | 3 | 31 | 6.62 |