Please use this identifier to cite or link to this item: http://nopr.niscpr.res.in/handle/123456789/44913
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dc.contributor.authorsaraswathi, Bala P-
dc.contributor.authorSrinivasalu, S-
dc.date.accessioned2018-08-29T08:42:29Z-
dc.date.available2018-08-29T08:42:29Z-
dc.date.issued2018-09-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/44913-
dc.description1838-1846en_US
dc.description.abstractPresent study consists a fast and better shoreline identification method based on canny edge detection and image filter method. In order to validate the proposed methods, three locations (Nagapattinam beach, Velankanni beach and Kodiakkarai fishing harbour) were chosen. The outputs shown that the proposed canny edge detection algorithms could interpret the shorelines better than the image filter method with acceptable precision, which exceeded 2pixels for canny edge detection and 4 to 5 pixel for image filter methods.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.47(09) [September 2018]en_US
dc.subjectShoreline extractionen_US
dc.subjectTM/ETM+/OLIen_US
dc.subjectPWDen_US
dc.subjectEdge detectionen_US
dc.subjectImage filteren_US
dc.titleA fast and better shoreline extraction of Nagapattinam coast from TM/ETM+/OLI images based on edge detection and image filter method.en_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.47(09) [September 2018]

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