COMPUTATIONAL INTELLIGENCE IN ENVIRONMENTAL CHANGES DETECTION

Silviu Ioan Bejinariu ()
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Silviu Ioan Bejinariu: PostPhD Fellow, SOP HRD/159/1.5/133675 Project, Romanian Academy – Ia?i Branch

THE YEARBOOK OF THE "GH. ZANE" INSTITUTE OF ECONOMIC RESEARCHES, 2015, vol. 24, issue 1, 3-12

Abstract: Changes detection is helpful in determining strategies for natural resources management, environment monitoring, for urban development politics and also for natural disasters resilience andmitigation. Changes detection and monitoring involve the analysis of multi-temporal data of different types,obtained from different sources, including common databases, aerial or satellite images and old printed topographical maps. In populated areas, the changes are easily observed and analyzed, but for inaccessible areas, like forested mountain areas, the automatic analysis based on remote sensing imagery is required. Also, some features of the land, like type of soil, land cover type or humidity, are not perceptible by the human eye, so, multispectral images must be used for an accurate analysis of the studied area. In this paper we propose a strategy for environmental changes detection based on multispectral images

Keywords: changes detection; image fusion; multispectral image; features detection (search for similar items in EconPapers)
Date: 2015
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