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Spectral–texture feature extraction using statistical moments with application to object-based vegetation species classification

Li, Zhengrong, Hayward, Ross F., Liu, Yuee, & Walker, Rodney A. (2011) Spectral–texture feature extraction using statistical moments with application to object-based vegetation species classification. International Journal of Image and Data Fusion.

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Abstract

The use of appropriate features to characterise an output class or object is critical for all classification problems. In order to find optimal feature descriptors for vegetation species classification in a power line corridor monitoring application, this article evaluates the capability of several spectral and texture features. A new idea of spectral–texture feature descriptor is proposed by incorporating spectral vegetation indices in statistical moment features. The proposed method is evaluated against several classic texture feature descriptors. Object-based classification method is used and a support vector machine is employed as the benchmark classifier. Individual tree crowns are first detected and segmented from aerial images and different feature vectors are extracted to represent each tree crown. The experimental results showed that the proposed spectral moment features outperform or can at least compare with the state-of-the-art texture descriptors in terms of classification accuracy. A comprehensive quantitative evaluation using receiver operating characteristic space analysis further demonstrates the strength of the proposed feature descriptors.

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ID Code: 43341
Item Type: Journal Article
Keywords: statistical moments, spectral vegetation index, texture, object-based classification, SVM
DOI: 10.1080/19479832.2010.546372
ISSN: 1947-9824
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > GEOMATIC ENGINEERING (090900) > Photogrammetry and Remote Sensing (090905)
Divisions: Current > Research Centres > Australian Research Centre for Aerospace Automation
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > QUT Faculties & Divisions > Faculty of Science and Technology
Deposited On: 19 Jul 2011 15:05
Last Modified: 19 Jul 2011 15:05

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