Name
Abstract | ||
|---|---|---|
Since a few months TerraSAR-X has been acquiring X-band SAR images of the earth surface from space. This contribution reports on a study carried out to understand the main textural features of the X-band radar return from various kinds of surfaces and in particular to assess the potential of images acquired by X-band space borne radars in mapping fire scars and in classifying suburban/agricultural land cover. To this end, a novel unsupervised neural network algorithm, the Textural Self-Organizing Map (TexSOM), based on the textural features of the radar image, has been worked out and tested on areas in Greece and Italy. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IGARSS.2008.4779434 | Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International |
Keywords | Field | DocType |
agriculture,fires,geophysics computing,image classification,neural nets,spaceborne radar,synthetic aperture radar,terrain mapping,texture,vegetation,Earth surface,Europe,Greece,Italy,TERRASAR-X imaging,TexSOM,Textural Self- Organizing Map,X-band space borne radar,agriculture land cover classification,fire mapping,image classification,radar image,suburban land cover classification,synthetic aperture radar,textural feature,unsupervised neural network algorithm,Fire Mapping,TerraSAR-X,Unsupervised Neural Network | Radar,Radar imaging,Vegetation,Synthetic aperture radar,Computer science,Remote sensing,Contextual image classification,Statistical classification,Land cover,Agricultural land | Conference |
Volume | ISBN | Citations |
3 | 978-1-4244-2808-3 | 1 |
PageRank | References | Authors |
0.41 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alessandro Burini | 1 | 11 | 3.13 |
| Putignano, C. | 2 | 1 | 1.08 |
| Fabio Del Frate | 3 | 508 | 72.43 |
| Lazzarini, M. | 4 | 1 | 0.41 |