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In: Computing and Informatics, vol. 29, no. 6


A Neural Network Approach to Flood Mapping Using Satellite Imagery

S. Skakun

ISSN 1335-9150 (print)

Rok, strany: 2010, 1013-1024

Publikované: 0000-00-00

Abstrakt:

This paper presents a new approach to flood mapping using satellite synthetic-aperture radar (SAR) images that is based on intelligent techniques. In particular, we apply artificial neural networks, self-organizing Kohonen's maps (SOMs), for SAR image segmentation and classification. Our approach was used to process data from different satellite SAR instruments (ERS-2/SAR, ENVISAT/ASAR, RADARSAT-1) for different flood events: the Tisza river, Ukraine and Hungary, 2001; the Huaihe river, China, 2007; the Mekong river, Thailand and Laos, 2008; and the Koshi river, India and Nepal, 2008.

Ako citovať:

ISO 690:
Skakun, S. 2010. A Neural Network Approach to Flood Mapping Using Satellite Imagery. In Computing and Informatics, vol. 29, no.6, pp. 1013-1024.

APA:
Skakun, S. (2010). A Neural Network Approach to Flood Mapping Using Satellite Imagery. Computing and Informatics, 29(6), 1013-1024.

Kľúčové slová: Flood mapping, neural networks, self-organising Kohonen maps, synthetic aperture radar