An Interactive Technique for Cartographic Feature Extraction from Aerial and Satellite Image Sensors
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Rst. Raumfahrt Systemtechnik GmbH, D-Salem, Germany
2
Mathematics Department, Alcala University, E-Madrid, Spain
*
Author to whom correspondence should be addressed.
Sensors 2008, 8(8), 4786-4799; https://doi.org/10.3390/s8084786
Received: 2 July 2008
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Revised: 24 July 2008
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Accepted: 11 August 2008
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Published: 19 August 2008
In this paper, an interactive technique for extracting cartographic features from aerial and spatial images is presented. The method is essentially an interactive method of image region segmentation based on pixel grey level and texture information. The underlying segmentation method is seeded region growing. The criterion for growing regions is based on both texture and grey level, where texture is quantified using cooccurrence matrices. The Kullback distance is utilised with co-occurrence matrices in order to describe the image texture, then the Theory of Evidence is applied to merge the information coming from texture and grey level image from the RGB bands. Several results from aerial and spatial images that support the technique are presented
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MDPI and ACS Style
Kicherer, S.; Malpica, J.A.; Alonso, M.C. An Interactive Technique for Cartographic Feature Extraction from Aerial and Satellite Image Sensors. Sensors 2008, 8, 4786-4799. https://doi.org/10.3390/s8084786
AMA Style
Kicherer S, Malpica JA, Alonso MC. An Interactive Technique for Cartographic Feature Extraction from Aerial and Satellite Image Sensors. Sensors. 2008; 8(8):4786-4799. https://doi.org/10.3390/s8084786
Chicago/Turabian StyleKicherer, Stefan, Jose A. Malpica, and Maria C. Alonso. 2008. "An Interactive Technique for Cartographic Feature Extraction from Aerial and Satellite Image Sensors" Sensors 8, no. 8: 4786-4799. https://doi.org/10.3390/s8084786
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