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http://nopr.niscpr.res.in/handle/123456789/42971Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ahmed, Ifjaz M | - |
| dc.contributor.author | Vaithiyanathan, V | - |
| dc.date.accessioned | 2017-10-30T05:53:52Z | - |
| dc.date.available | 2017-10-30T05:53:52Z | - |
| dc.date.issued | 2017-11 | - |
| dc.identifier.issn | 0975-1033 (Online); 0379-5136 (Print) | - |
| dc.identifier.uri | http://nopr.niscair.res.in/handle/123456789/42971 | - |
| dc.description | 2258-2264 | en_US |
| dc.description.abstract | As 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.iso | en_US | en_US |
| dc.publisher | NISCAIR-CSIR, India | en_US |
| dc.rights |  CC Attribution-Noncommercial-No Derivative Works 2.5 India | en_US |
| dc.source | IJMS Vol.46(11) [November 2017] | en_US |
| dc.subject | Improved IHS fusion | en_US |
| dc.subject | Coarse to fine level set segmentation | en_US |
| dc.subject | Vegetation area | en_US |
| dc.subject | Panchromatic image | en_US |
| dc.subject | Multispectral image | en_US |
| dc.title | A hybrid (IIHSF-LSM) approach to detect vegetation | en_US |
| dc.type | Article | en_US |
| Appears in Collections: | IJMS Vol.46(11) [November 2017] | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| IJMS 46(11) 2258-2264.pdf | 793.1 kB | Adobe PDF | View/Open |
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