DocumentCode
711759
Title
Mapping people distribution at very high resolution from remote sensing imagery and a priori coarse people counts
Author
Gueguen, Lionel
Author_Institution
Image Min. Product Dev. & Labs., DigitalGlobe Inc., Longmont, CO, USA
fYear
2015
fDate
March 30 2015-April 1 2015
Firstpage
1
Lastpage
4
Abstract
The paper presents a fast and fully automatic method for estimating people distribution maps at very high resolution (≥ 25 m) from VHR optical imagery. This method is implemented in the High-res Urban Globe (HUG) suite of tools developed at DigitalGlobe, Inc. The methods relies on the a priori knowledge of coarse people counts to train a model acting on building features extracted from VHR imagery. Experiments and results show the high fidelity of HUG population density estimate to detailed census data.
Keywords
buildings (structures); feature extraction; geophysical image processing; image resolution; optical images; remote sensing; DigitalGlobe Inc; HUG population density estimation; VHR optical imagery; building feature extraction; high-res urban globe; people distribution mapping estimation; remote sensing imagery resolution; Buildings; Optical imaging; Sociology; Spatial resolution; Statistics; TV;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event (JURSE), 2015 Joint
Conference_Location
Lausanne
Type
conf
DOI
10.1109/JURSE.2015.7120473
Filename
7120473
Link To Document