Login
- Title:
A Feature selection analysis of WorldView-II data for similar urban objects distinction
- Document type:
- Konferenzbeitrag
- Author(s):
- Novack, T.; Kux, H. J. H.; Esch, T.; Stilla, U.
- 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:
- Remote sensing, Algorithm design and analysis, Image segmentation, Classification algorithms, Radio frequency, Pixel, Software algorithms
- Book / Congress title:
- Proc. Joint Urban Remote Sensing Event (JURSE)
- Year:
- 2011
- Pages:
- 389--392
- Fulltext / DOI:
- doi:10.1109/JURSE.2011.5764801
- WWW:
- http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5764801
BibTeX