Structural description of water basins from Landsat imagery using multiscale image relevance function

Roman M. Palenichka; Dianne Richardson; Marek B. Zaremba

doi:10.1117/12.454165

28 January 2002 Structural description of water basins from Landsat imagery using multiscale image relevance function

Roman M. Palenichka, Dianne Richardson, Marek B. Zaremba

Proceedings Volume 4541, Image and Signal Processing for Remote Sensing VII; (2002) https://doi.org/10.1117/12.454165
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

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.

Citation Download Citation

Roman M. Palenichka, Dianne Richardson, and Marek B. Zaremba "Structural description of water basins from Landsat imagery using multiscale image relevance function", Proc. SPIE 4541, Image and Signal Processing for Remote Sensing VII, (28 January 2002); https://doi.org/10.1117/12.454165

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KEYWORDS

Image segmentation

Earth observing sensors

Landsat

Satellite imaging

Satellites

Image analysis

Image processing

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