DocumentCode :
2879963
Title :
Robust automated thresholding of SAR imagery for open-water detection
Author :
Cutler, Patrick J. ; Schwartzkopf, Wade C. ; Koehler, Frederick W.
Author_Institution :
Nat. Geospatial-Intell. Agency, Springfield, VA, USA
fYear :
2015
fDate :
10-15 May 2015
Abstract :
Most thresholding algorithms reported in the literature for water detection in SAR imagery are optimized for a single sensor, limited collection parameters, or scene content. This study uses a diverse library of data (106 independent collects) to develop a robust thresholding algorithm for automated water detection in SAR imagery. The library includes RadarSat-2, TerraSAR-X, and COSMO-SkyMed collects for a diverse set of ground sites (18 sites; littoral and riverine). The study of water features extracted from this library provides a platform from which to investigate the relationships between scene content, collection parameters, and the ability to extract water features in an automated way. This is the first work to the authors´ knowledge that rigorously compares the automated detection of water features using a library of data with an approximation of ground truth. Two key observations are: 1) a positive correlation between the fraction of water in a scene and the classification accuracy; 2) cross-pol (i.e. HV or VH) often provides better contrast for segmentation of open-water and non-open-water than the HH polarization.
Keywords :
feature extraction; geophysical image processing; image classification; image segmentation; remote sensing by radar; synthetic aperture radar; COSMO-SkyMed; HH polarization; RadarSat-2; SAR imagery; TerraSAR-X; automated water detection; classification accuracy; collection parameters; data diverse library; ground truth approximation; limited collection parameters; open-water detection; open-water segmentation; robust automated thresholding; scene content; thresholding algorithms; water feature extraction; water fraction; Accuracy; Feature extraction; Histograms; Libraries; Sociology; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference (RadarCon), 2015 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4799-8231-8
Type :
conf
DOI :
10.1109/RADAR.2015.7131015
Filename :
7131015
Link To Document :
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