DocumentCode :
144282
Title :
A novel dynamic thresholding and categorizing approach to extract water objects from VHR satellite images
Author :
Senaras, Caglar ; Gedik, Ekin ; Yardimci, Yasemin
Author_Institution :
Havelsan A.S., Ankara, Turkey
fYear :
2014
fDate :
13-18 July 2014
Firstpage :
4934
Lastpage :
4937
Abstract :
In this study, we propose a new water detection and categorization approach for VHR multispectral satellite images. In order to detect the water regions, the novel Mean Area of Connected Component (MACC) thresholding algorithm is used, which utilizes the structural properties of rivers and lakes. At the same time, the algorithm categorizes the detected waters and refines the threshold value in order to extract narrow rivers. Proposed method is tested on different VHR satellite images obtained from Worldview, Ikonos and Geoeye-1. These extensive experiments demonstrate the robustness of the MACC approach compared to other dynamical thresholding selection approaches.
Keywords :
hydrological techniques; lakes; rivers; Geoeye-1; Ikonos; MACC approach; MACC thresholding algorithm; VHR multispectral satellite image; Worldview; detected water algorithm categorization; dynamical thresholding selection approach; lake structural property; narrow river ectraction; novel dynamic categorizing approach; novel dynamic thresholding approach; novel mean area of connected component thresholding algorithm; river structural property; threshold value; water categorization approach; water detection approach; water object extraction; water region detection; Heuristic algorithms; Histograms; Indexes; Lakes; Noise; Rivers; Satellites; Dynamic thresholding; Water detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location :
Quebec City, QC
Type :
conf
DOI :
10.1109/IGARSS.2014.6947602
Filename :
6947602
Link To Document :
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