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

Sensors

Stefan Kicherer²  Jose A. Malpica¹ 

[1] Mathematics Department, Alcala University, E-Madrid, Spain;Rst. Raumfahrt Systemtechnik GmbH, D-Salem, Germany

关键词: Interactive techniques;    Region growing;    Texture;    Kullback distance;    Theory of Evidence;   

DOI  :  10.3390/s8084786

来源: mdpi

【 摘 要 】

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 co-occurrence 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

【 授权许可】

CC BY   
© 2008 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.