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Spectral-spatial MODIS image analysis using swarm intelligence algorithms and region based segmentation for flood assessment

Senthilnath, J and Shenoy, Vikram H and Omkar, SN and Mani, V (2013) Spectral-spatial MODIS image analysis using swarm intelligence algorithms and region based segmentation for flood assessment. In: 7th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012), DEC 14-16, 2012, ABV Indian Inst Informat Technol & Management Gwalior, Madhya Pradesh, INDIA, pp. 163-174.

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Official URL: http://dx.doi.org/10.1007/978-81-322-1041-2_14

Abstract

This paper discusses an approach for river mapping and flood evaluation based on multi-temporal time-series analysis of satellite images utilizing pixel spectral information for image clustering and region based segmentation for extracting water covered regions. MODIS satellite images are analyzed at two stages: before flood and during flood. Multi-temporal MODIS images are processed in two steps. In the first step, clustering algorithms such as Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) are used to distinguish the water regions from the non-water based on spectral information. These algorithms are chosen since they are quite efficient in solving multi-modal optimization problems. These classified images are then segmented using spatial features of the water region to extract the river. From the results obtained, we evaluate the performance of the methods and conclude that incorporating region based image segmentation along with clustering algorithms provides accurate and reliable approach for the extraction of water covered region.

Item Type: Conference Paper
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Additional Information: Copyright for this article belongs to SPRINGER-VERLAG BERLIN, GERMANY
Keywords: MODIS image;Flood assessment;Genetic algorithm;Particle swarm optimization;Shape index;Density index
Department/Centre: Division of Mechanical Sciences > Aerospace Engineering (Formerly, Aeronautical Engineering)
Date Deposited: 22 Mar 2013 12:14
Last Modified: 27 Mar 2013 06:29
URI: http://eprints.iisc.ernet.in/id/eprint/46179

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