Title :
Feature selection analysis of WorldView-II data for similar urban objects distinction
Author :
Novack, Tessio ; Kux, Hermann J H ; Esch, Thomas ; Stilla, Uwe
Author_Institution :
Nat. Inst. for Space Res., INPE, São José dos Campos, Brazil
Abstract :
Feature selection methods have recently become very attractive to remote sensing researches as new object-based image analysis systems have made available tens or even hundreds of spectral, textural and geometrical features to be used in classification routines. The aim of this study is to investigate, based on different feature selection algorithms, whether the additional bands of the WorldView II sensor are indeed helpful for the discrimination of similar urban targets.
Keywords :
feature extraction; geophysical image processing; image classification; image texture; remote sensing; WorldView-II data; feature selection analysis; geometrical feature; image classification; object based image analysis system; remote sensing research; spectral feature; textural feature; urban objects distinction; Algorithm design and analysis; Classification algorithms; Image segmentation; Pixel; Radio frequency; Remote sensing; Software algorithms;
Conference_Titel :
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location :
Munich
Print_ISBN :
978-1-4244-8658-8
DOI :
10.1109/JURSE.2011.5764801