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TitleStructural description of water basins from Landsat imagery using multi-scale image relevance function
 
AuthorPalenichka, R M; Richardson, D; Zaremba, M B
SourceProceedings of SPIE, the International Society of Optical Engineering vol. 4541, 2002 p. 306-317, https://doi.org/10.1117/12.454165
Year2002
Alt SeriesNatural Resources Canada, Contribution Series 20181511
PublisherSPIE
Documentserial
Lang.English
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing
ProgramCanada Centre for Remote Sensing Divsion
AbstractConventional 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.
GEOSCAN ID311866

 
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