Title :
Semi-Automated Extraction of Human Settlement Extent in HR SAR Images
Author :
Stasolla, Mattia ; Gamba, Paolo
Author_Institution :
Dept. of Electron., Univ. of Pavia, Pavia
Abstract :
In this paper a novel method, based on autocorrelation indexes and gray-level co-occurence matrix, for the extraction of urban areas in high resolution SAR images, is presented. It strongly reduces human interpreters´ intervention thanks to a high degree of automation within the processing chain and allows a fast and accurate generation of built-up area maps, which can be employed for land mapping and support in relief operations.
Keywords :
image texture; remote sensing by radar; synthetic aperture radar; terrain mapping; built-up area maps; fusion technique; gray-level co-occurence matrix; high resolution SAR images; human interpreters´; human settlement extent; image texture analysis; land mapping; semi-automated extraction; synthetic aperture radar; Autocorrelation; Automation; Buildings; Costs; Humans; Image resolution; Optical sensors; Pixel; Remote sensing; Urban areas; SAR; Urban area mapping; spatial auto-correlation; texture analysis;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4780054
