Please use this identifier to cite or link to this item:
|Title:||Updating of Land-Cover Maps by Using Texture Information from Very High Resolution Space-Borne Imagery.|
|Authors:||SMITS Paul c.; ANNONI Alessandro|
|Citation:||IEEE Transactions on Geoscience and Remote Sensing vol. 37 no. 3 p. 1227-1233|
|Type:||Articles in periodicals and books|
|Abstract:||The process of updating existing land-cover databases is an issue of great concern for keeping existing and often expensive information valuable. Often, this problem is one of integrating appropriately multi-temporal data sets that are completely different in nature. In this article, a methodology is proposed for the updating of land-cover databases by using texture information derived from very high-resolution panchromatic space-borne imagery. At a given scale the homogeneity of texture derived from newly acquired imagery is measured within the polygons to update by means of a knowledge-based segmentation approach. In a successive step, the new region contours are compared with the existing polygons. this basically transforms the change detection problem into one of image segmentation. Experimental results for the analysis of urban-rural relationship by IRS-1C panchromatic imagery indicate the usefulness of the taken direction.|
|JRC Institute:||Joint Research Centre Historical Collection|
Files in This Item:
There are no files associated with this item.
Items in repository are protected by copyright, with all rights reserved, unless otherwise indicated.