Urban feature extraction on simulated WorldView-2 images

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, aimi...

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Bibliographic Details
Main Authors: dos Anjos, Camila Souza, de Almeida, Claudia Maria, Galvao, Lenio Soares, Garcia Fonseca, Leila Maria
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Feature extraction
Hyperspectral imaging
Soil
Spatial resolution
Vegetation mapping
Online Access:Request full text
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Summary: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.
DOI:10.1109/JURSE.2013.6550720