NDLI: Hyperspectral soil texture classification

Content Provider	IEEE Xplore Digital Library
Author	Xudong Zhang Vijayaraj, V. Younan, N.H.
Copyright Year	2004
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA (Xudong Zhang; Vijayaraj, V.; Younan, N.H.)
Abstract	A soil texture classification system is developed and exploited in the hyperspectral domain. The hyperspectral signatures of three different pure soil textures, i.e., sand, silt and clay, combined with a linear mixture model, are used to generate signals representing different types of soil textures. Feature extraction via the discrete wavelet transform and linear discriminant analysis for feature vector reduction and optimization are used. Different types of classifiers, which include the nearest mean and maximum likelihood, are incorporated to test the system's applicability. Classification accuracy is evaluated using a leave-one-out method. Experimental results are presented and possible future works are discussed.
Starting Page	182
Ending Page	186
File Size	361428
Page Count	5
File Format	PDF
ISBN	0780383508
DOI	10.1109/WARSD.2003.1295191
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-10-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hyperspectral sensors Sensor phenomena and characterization Soil texture Feature extraction Signal generators Wavelet analysis Vectors Discrete wavelet transforms Linear discriminant analysis Hyperspectral imaging
Content Type	Text
Resource Type	Article

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