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An Interactive Technique for Cartographic Feature Extraction from Aerial and Satellite Image Sensors
Rst. Raumfahrt Systemtechnik GmbH, D-Salem, Germany
Mathematics Department, Alcala University, E-Madrid, Spain
* Author to whom correspondence should be addressed.
Received: 2 July 2008; in revised form: 24 July 2008 / Accepted: 11 August 2008 / Published: 19 August 2008
Abstract: 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
Keywords: Interactive techniques; Region growing; Texture; Kullback distance; Theory of Evidence
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Cite This Article
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.
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.
Kicherer, Stefan; Malpica, Jose A.; Alonso, Maria C. 2008. "An Interactive Technique for Cartographic Feature Extraction from Aerial and Satellite Image Sensors." Sensors 8, no. 8: 4786-4799.