Share Email Print
cover

Proceedings Paper

Structural description of water basins from Landsat imagery using multiscale image relevance function
Author(s): Roman M. Palenichka; Dianne Richardson; Marek B. Zaremba
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Conventional methods for cartographic shape representation of objects from satellite images are usually inaccurate and will provide only a rough shape description if they are to work in a fully automated mode. For example, existing algorithms for skeletal thinning fail to provide a correctly shaped skeleton if the input images contain noise or the objects of interest are sparse and exhibit discontinuities. The proposed method for extraction of skeletons of 2-D objects is based on an efficient algorithm for multi-scale structural analysis of images obtained from satellite data. The form and topology of hydrological objects, such as rivers and lakes, can be extracted by applying a multi-scale relevance function in a quick, reliable and scale-independent way. The description of objects is obtained in the form of piecewise linear skeletons (multi-scale structural graph) and includes local scales at graph vertices, which correspond to local maxima of the relevance function. The experimental test results using Landsat-7 images show good accuracy of the relevance function approach and its potential for fully automated hydrographic mapping.

Paper Details

Date Published: 28 January 2002
PDF: 12 pages
Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); doi: 10.1117/12.454165
Show Author Affiliations
Roman M. Palenichka, Univ. du Quebec/Hull (Canada)
Dianne Richardson, Canada Ctr. for Remote Sensing (Canada)
Marek B. Zaremba, Univ. du Quebec/Hull (Canada)


Published in SPIE Proceedings Vol. 4541:
Image and Signal Processing for Remote Sensing VII
Sebastiano Bruno Serpico, Editor(s)

© SPIE. Terms of Use
Back to Top