DocumentCode
3108068
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
fYear
2011
fDate
11-13 April 2011
Firstpage
389
Lastpage
392
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Event (JURSE), 2011 Joint
Conference_Location
Munich
Print_ISBN
978-1-4244-8658-8
Type
conf
DOI
10.1109/JURSE.2011.5764801
Filename
5764801
Link To Document