|
This article is cited in 4 scientific papers (total 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
Citation:
O. A. Efremova, Yu. N. Kunakov, S. V. Pavlov, A. Kh. Sultanov, “An algorithm for mapping flooded areas through analysis of satellite imagery and terrestrial relief features”, Computer Optics, 42:4 (2018), 695–703
Linking options:
https://www.mathnet.ru/eng/co551 https://www.mathnet.ru/eng/co/v42/i4/p695
|
Statistics & downloads: |
Abstract page: | 177 | Full-text PDF : | 79 | References: | 24 |
|