Title :
Urban feature extraction on simulated WorldView-2 images
Author :
Souza dos Anjos, Camila ; de Almeida, C.M. ; Galvao, L.S. ; Garcia Fonseca, Leila Maria
Author_Institution :
Nat. Inst. for Space Res. - INPE, São José dos Campos, Brazil
Abstract :
This work presents a procedure for simulating the eight multispectral bands of the WorldView-2 satellite by means of bands available in the airborne sensor HSS (Hyperspectral Scanner System). Both the original and simulated images were classified using the SAM (Spectral Angle Mapper) algorithm, aiming to discriminate intra-urban targets, namely: French tiles, asphalt/concrete, steel and aluminum tiles, bare soil, native arborous vegetation, and grass. The simulated images proved to be suitable for the detection of all aforementioned targets.
Keywords :
aluminium; asphalt; concrete; feature extraction; geophysical image processing; hyperspectral imaging; image classification; optical sensors; soil; steel; tiles; vegetation; French tiles; HSS; SAM algorithm; WorldView-2 satellite; airborne sensor; aluminum tiles; asphalt; bare soil; concrete; grass; hyperspectral scanner system; intra-urban target discrimination; multispectral band simulation; native arborous vegetation; simulated WorldView-2 images; simulated image classification; spectral angle mapper algorithm; steel tiles; urban feature extraction; Accuracy; Feature extraction; Hyperspectral imaging; Soil; Spatial resolution; Vegetation mapping;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2013 Joint
Conference_Location :
Sao Paulo
Print_ISBN :
978-1-4799-0213-2
Electronic_ISBN :
978-1-4799-0212-5
DOI :
10.1109/JURSE.2013.6550720
