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Sensors 2008, 8(8), 4786-4799; doi:10.3390/s8084786

An Interactive Technique for Cartographic Feature Extraction from Aerial and Satellite Image Sensors

1
Rst. Raumfahrt Systemtechnik GmbH, D-Salem, Germany
2
Mathematics Department, Alcala University, E-Madrid, Spain
*
Author to whom correspondence should be addressed.
Received: 2 July 2008 / Revised: 24 July 2008 / Accepted: 11 August 2008 / Published: 19 August 2008
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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 View Full-Text
Keywords: Interactive techniques; Region growing; Texture; Kullback distance; Theory of Evidence Interactive techniques; Region growing; Texture; Kullback distance; Theory of Evidence
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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.

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