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.
Detecting human settlements in satellite images
Optical Engineering at the Lawrence Livermore National Laboratory ; 2003 ; San Jose,CA,United States
Proc. SPIE ; 5001
2003-06-18
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Use of machine vision techniques to detect human settlements in satellite images [5014-31]
British Library Conference Proceedings | 2003
|Detecting inshore ships in satellite images
IEEE | 2015
|Satellite Earth Stations for Greenlandic Towns and Settlements
British Library Conference Proceedings | 1996
|Informal Settlements and Human Health
Springer Verlag | 2018
|