dc.contributor.author | Kiema, JBK | |
dc.date.accessioned | 2013-06-21T13:09:46Z | |
dc.date.available | 2013-06-21T13:09:46Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | KYALO, PROFKIEMAJOHNBOSCO. 2002. Texture Analysis and Data Fusion in the Extraction of Topographic Objects from Satellite Imagery.. International Journal of Remote Sensing. Vol. 23(4), pp. 767-776.. : Canadian Center of Science and Education | en |
dc.identifier.uri | http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/37602 | |
dc.description.abstract | This paper examines the influence of multisensor data fusion on the automatic extraction of topographic objects from SPOT panchromatic imagery. The suitability of various grey level co-occurence based texture measures, as well as different pixel windows is also investigated. It is observed that best results are obtained with a 3x3 pixel window and the texture measure homogeneity. The synthetic texture image derived together with a Landsat TM imagery are then fused with the SPOT data using the additional channel concept. The object feature base is expanded to include both spectral and spatial features. A maximum likelihood classification approach is then applied. It is demonstrated that the segmentation of topographic objects is significantly improved by fusing the multispectral and texture information. | en |
dc.language.iso | en | en |
dc.title | Texture Analysis And Data Fusion In The Extraction Of Topographic Objects From Satellite Imagery. | en |
dc.type | Working Paper | en |
local.publisher | Geospatial and Space Technology, University of Nairobi | en |