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JOURNALS // Computer Optics // Archive

Computer Optics, 2018 Volume 42, Issue 4, Pages 695–703 (Mi co551)

This article is cited in 4 papers

IMAGE PROCESSING, PATTERN RECOGNITION

An algorithm for mapping flooded areas through analysis of satellite imagery and terrestrial relief features

O. A. Efremova, Yu. N. Kunakov, S. V. Pavlov, A. Kh. Sultanov

Ufa State Aviation Technical Univercity, Ufa, Russia

Abstract: We address a problem of the joint processing of digital maps of the earth surface and satellite imagery of flooded areas as part of the software intended to help authorities to respond to emergency situations. The problem of mapping flooded areas is solved based on the use of satellite images and GIS technologies. This paper describes an algorithm for mapping areas submerged by flooded rivers based on radar satellite images and analysis of characteristic relief features, allowing one to improve the accuracy of the image geolocation with a small number of reference points. The experimental studies demonstrate that using the algorithm proposed, the alignment accuracy of the river water surface obtained from a satellite image and from a digital topographic map has increased by 40

Keywords: spatial data, flooded areas, space images, reference points, digital maps, software complex, algorithm for processing spatial data.

Received: 05.10.2017
Accepted: 29.07.2018

DOI: 10.18287/2412-6179-2018-42-4-695-703



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