Comparative analysis of various thresholding techniques on TerraSAR-X images in the presence of speckle noise

dc.contributor.authorSchwinger, E.
dc.contributor.authorMunthe-Kaas, A.Z.
dc.date.accessioned2018-12-21T09:47:53Z
dc.date.available2018-12-21T09:47:53Z
dc.date.issued2013-09
dc.description.abstractThis paper compares several methods of thresholding applied to TerraSAR-X radar images in the presence of speckle noise and a method based on the use of the local extremas of the histogram. The methods used are Otsu's, Valley-emphasis, maximum entropy, fuzzy sets, Yagar's measure of fuzziness and histogram clustering. The local minimum of the histogram provides a good threshold candidate for global thresholding in ship detection in the case of moderate signal noise but fails for high signal noise and variable illumination. The methods are tested on sample images to evaluate their performance in object detection in real TerraSAR-X datasets. © 2013 University of Trieste and University of Zagreb.en_US
dc.identifier.otherDOI: 10.1109/ISPA.2013.6703711
dc.identifier.urihttp://ugspace.ug.edu.gh/handle/123456789/26627
dc.language.isoenen_US
dc.publisherInternational Symposium on Image and Signal Processing and Analysis, ISPAen_US
dc.subjectFuzzy Measureen_US
dc.subjectHistogram Clusteringen_US
dc.subjectImage Thresholdingen_US
dc.subjectLocal Minimum Thresholdingen_US
dc.subjectOtsuen_US
dc.subjectSegmentationen_US
dc.subjectShip Detectionen_US
dc.titleComparative analysis of various thresholding techniques on TerraSAR-X images in the presence of speckle noiseen_US
dc.typeOtheren_US

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