International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 122 - Issue 16 |
Published: July 2015 |
Authors: Kanta Tamta, H.S.Bhadauria |
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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
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.