| Title | Structural description of water basins from Landsat imagery using multi-scale image relevance function |
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| Author | Palenichka, R M; Richardson, D; Zaremba, M B |
| Source | Proceedings of SPIE, the International Society of Optical Engineering vol. 4541, 2002 p. 306-317, https://doi.org/10.1117/12.454165 |
| Year | 2002 |
| Alt Series | Natural Resources Canada, Contribution Series 20181511 |
| Publisher | SPIE |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing |
| Program | Canada Centre for Remote Sensing Divsion |
| Released | 2002 01 30 |
| 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. |
| GEOSCAN ID | 311866 |
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