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

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

1, 2email and 2
Received: 2 July 2008; in revised form: 24 July 2008 / Accepted: 11 August 2008 / Published: 19 August 2008
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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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.

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.

Chicago/Turabian Style

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.


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