Texture Analysis And Data Fusion In The Extraction Of Topographic Objects From Satellite Imagery.
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.
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 EducationPublisher
Geospatial and Space Technology, University of Nairobi