Paper
18 June 2003 Detecting human settlements in satellite images
Author Affiliations +
Abstract
The automated production of maps of human settlement from recent satellite images is essential to detailed studies of urbanization, population movement, and the like. Commercial satellite imagery is becoming available with sufficient spectral and spatial resolution to apply computer vision techniques previously considered only for laboratory (high resolution, low noise) images. In this paper we attempt to extract human settlement from IKONOS 4-band and panchromatic images using spectral segmentation together with a form of generalized second-order statistics and detection of edges, corners, and other candidate human-made features in the imagery.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sailes K. Sengupta, Chandrika Kamath, Douglas N. Poland, and John A. H. Futterman "Detecting human settlements in satellite images", Proc. SPIE 5001, Optical Engineering at the Lawrence Livermore National Laboratory, (18 June 2003); https://doi.org/10.1117/12.500370
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CITATIONS
Cited by 4 scholarly publications.
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KEYWORDS
Earth observing sensors

Satellite imaging

Satellites

Image classification

Image segmentation

Corner detection

High resolution satellite images

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