Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/42971
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dc.contributor.authorAhmed, Ifjaz M-
dc.contributor.authorVaithiyanathan, V-
dc.date.accessioned2017-10-30T05:53:52Z-
dc.date.available2017-10-30T05:53:52Z-
dc.date.issued2017-11-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/42971-
dc.description2258-2264en_US
dc.description.abstractAs the region of interest is only on vegetative cover areas of satellite images, Panchromatic and Multispectral images are scanned for this purpose. A modified method of IHS fusion result is focused to be better in the method of traditional IHS fusion. Here in this study, a combination of improved IHS fusion and Coarse to Fine level segmentation is deployed to identify the vegetation area with less computational complexity and comparatively higher accuracy.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.46(11) [November 2017]en_US
dc.subjectImproved IHS fusionen_US
dc.subjectCoarse to fine level set segmentationen_US
dc.subjectVegetation areaen_US
dc.subjectPanchromatic imageen_US
dc.subjectMultispectral imageen_US
dc.titleA hybrid (IIHSF-LSM) approach to detect vegetationen_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.46(11) [November 2017]

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