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IGARSS
2009

Rapid Detection of Agricultural Food Crop Contamination via Hyperspectral Remote Sensing

9 years 3 months ago
Rapid Detection of Agricultural Food Crop Contamination via Hyperspectral Remote Sensing
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use of a newly developed automated target recognition (ATR) system, that uses a combination of discrete wavelet transforms, multiclassifiers, and decision fusion, to effectively exploit the hyperspectral data to achieve high detection rates while maintaining low false alarm rates. The performance of the proposed hyperspectral ATR system is compared to ATR methods currently used in the remote sensing community, including those based on principal component analysis (PCA), discriminant analysis feature extraction (DAFE), and maximum-likelihood classifiers. The efficacy of both the proposed and conventional hyperspectral analysis methods are evaluated via an extensive 2-year field campaign, consisting of field-level experiments of corn and wheat exposed to highly controlled, varying levels of chemical contaminations....
Terrance West, Lori M. Bruce, Saurabh Prasad, Dani
Added 20 Feb 2011
Updated 20 Feb 2011
Type Journal
Year 2009
Where IGARSS
Authors Terrance West, Lori M. Bruce, Saurabh Prasad, Daniel Reynolds, Trent Irby
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