Next Article in Journal
Modelling Amperometric Biosensors Based on Chemically Modified Electrodes
Previous Article in Journal
CO2 Selective Potentiometric Sensor in Thick-film Technology
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, 2
 and
2
Received: 2 July 2008 / Revised: 24 July 2008 / Accepted: 11 August 2008 / Published: 19 August 2008
View Full-Text   |   Download PDF [173 KB, uploaded 21 June 2014]   |   Browse Figures

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 Interactive techniques; Region growing; Texture; Kullback distance; Theory of Evidence
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.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote
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.

View more citation formats

Related Articles

Article Metrics

Comments

Citing Articles

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert