By Topic

Updating land-cover maps by using texture information from very high-resolution space-borne imagery

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
P. C. Smits ; Space Appl. Inst., Eur. Comm., Ispa, Italy ; A. Annoni

The process of updating existing land-cover databases is an issue of great concern and is needed to maintain the value of existing and expensive information. Often, this problem is one of integrating appropriately multitemporal data sets that are completely different in nature, such as the updating of old vector data with new image data. In this paper, a methodology is proposed for the updating of land-cover databases of rural areas by using very high-resolution panchromatic space-borne imagery. The task is to identify the extension of urban and industrial areas. 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 boundaries are compared with the existing polygons. This basically transforms the change-detection problem into one of image segmentation. Experimental results for the updating of land-cover maps by IRS-1C panchromatic imagery indicate the usefulness of the direction that is adopted

Published in:

IEEE Transactions on Geoscience and Remote Sensing  (Volume:37 ,  Issue: 3 )