Referenced Items are not available for this document.
In this study, vegetation species were classified by using multispectral satellite images. A full wavelet transform is used to decompose the images into sub-images and the energy in each sub-images is assigned as feature for classification. These features were eliminated and classified by using neuro-fuzzy classifier with linguistic hedges. A classification accuracy of 93.75% was achieved by using the selected five features among 252 extracted features.
Published in:
Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
Date of Conference: 20-22 April 2011
- Page(s):
- 50 - 53
- E-ISBN :
- 978-1-4577-0461-1
- Print ISBN:
- 978-1-4577-0462-8
- INSPEC Accession Number:
- 12075102
- Conference Location :
- Antalya
- Digital Object Identifier :
- 10.1109/SIU.2011.5929584
- Product Type:
- Conference Publications
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