Urban feature extraction on simulated WorldView-2 images | Zendy

Camila Souza dos Anjos | Zendy; Claudia Maria de Almeida | Zendy; Lenio Soares Galvao | Zendy; Leila Maria Garcia Fonseca | Zendy

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Urban feature extraction on simulated WorldView-2 images

Author(s) -

Camila Souza dos Anjos,

Claudia Maria de Almeida,

Lenio Soares Galvao,

Leila Maria Garcia Fonseca

Publication year - 2013

Publication title -

joint urban remote sensing event 2013

Language(s) - English

Resource type - Conference proceedings

ISBN - 978-1-4799-0211-8

DOI - 10.1109/jurse.2013.6550720

Subject(s) - signal processing and analysis , power, energy and industry applications , geoscience , fields, waves and electromagnetics , computing and processing , components, circuits, devices and systems

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.

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