Abstract | ||
---|---|---|
An algorithm for the automatic detection and classification of snow avalanches has been developed and assessed through the archive of synthetic aperture radar (SAR) images acquired during six winter campaigns with a ground-based linear SAR. The scheme, based on the following classic steps: 1) detection; 2) features extraction; and 3) object classification, is fully described in this paper, represe... |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/TGRS.2008.2001387 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Snow,Radar detection,Synthetic aperture radar,Object detection,Feature extraction,Monitoring,Event detection,Filters,Statistics,Testing | Radar,Computer vision,Synthetic aperture radar,Remote sensing,Feature extraction,Image segmentation,Pixel,Artificial intelligence,Thresholding,Contextual image classification,Snow,Mathematics | Journal |
Volume | Issue | ISSN |
46 | 11 | 0196-2892 |
Citations | PageRank | References |
4 | 0.85 | 11 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Alberto Martinez-Vazquez | 1 | 8 | 2.72 |
Joaquim Fortuny-Guasch | 2 | 74 | 11.12 |