Research Article

Object-Oriented Approach of Landsat Imagery for Flood Mapping

by  Kanta Tamta, H.S.Bhadauria
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 122 - Issue 16
Published: July 2015
Authors: Kanta Tamta, H.S.Bhadauria
10.5120/21782-5059
PDF

Kanta Tamta, H.S.Bhadauria . Object-Oriented Approach of Landsat Imagery for Flood Mapping. International Journal of Computer Applications. 122, 16 (July 2015), 6-9. DOI=10.5120/21782-5059

                        @article{ 10.5120/21782-5059,
                        author  = { Kanta Tamta,H.S.Bhadauria },
                        title   = { Object-Oriented Approach of Landsat Imagery for Flood Mapping },
                        journal = { International Journal of Computer Applications },
                        year    = { 2015 },
                        volume  = { 122 },
                        number  = { 16 },
                        pages   = { 6-9 },
                        doi     = { 10.5120/21782-5059 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2015
                        %A Kanta Tamta
                        %A H.S.Bhadauria
                        %T Object-Oriented Approach of Landsat Imagery for Flood Mapping%T 
                        %J International Journal of Computer Applications
                        %V 122
                        %N 16
                        %P 6-9
                        %R 10.5120/21782-5059
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

This study introduced an object-oriented approach to flood mapping and affected field estimation in central Cambodia. Traditional pixel-based image algorithms for flood mapping and land use and land cover classification endure from low accuracy, sub-pixel problems, and the cover noise effect in the resulting images On the other hand, the object-based image analysis (OBIA) approach has been thoroughly developed in the last two decades to overcome the limitations and disadvantages of the traditional pixel-based approaches by generating and analyzing meaningful image objects instead of individual pixels and reducing the speckle noise effect. The OBIA approach was applied for the image classification with a new improved estimation algorithm with multi scale parameter in the segmentation process to obtain more accurate results in the flood mapping. Flooding can be recognized using a variety of approaches such as statistics, ground-based measuring, prediction model, remote sensing techniques.

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Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Change Detection Classification Flood Mapping Object-Based Approach Segmentation

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