Hyperspectral imaging-based wound analysis using mixture-tuned matched filtering classification method
نویسندگان
چکیده
منابع مشابه
Estimation of leafy spurge cover from hyperspectral imagery using mixture tuned matched filtering
Leafy spurge, Euphorbia esula L. is an adventive, perennial weed that infests approximately 1.2 million ha of land in North America. It often forms dense stands that displace native vegetation and useful forage plants on rangelands and in riparian habitats. Leafy spurge is a good candidate for detection via remote sensing because the distinctive yellow-green color of its bracts is spectrally un...
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Two demonstration sites in southeast Idaho, USA were used to extend remote sensing of leafy spurge research to fine-scale detection for abundance mapping using matched filtering (MF) scores. Linear regression analysis was used to quantify the relationship between MF estimates and calibrated ground estimates of leafy spurge abundance. The two sites had r values of 0.46 and 0.64. Both the slope o...
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متن کاملICA Mixture Model based Unsupervised Classification of Hyperspectral Imagery
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally not valid in practice. We present a novel, Independent Component Analysis (ICA) based approach for unsupervised classification of hyperspectral imagery. ICA, employed for a mixture model, estimates the data density in ...
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ژورنال
عنوان ژورنال: Journal of Biomedical Optics
سال: 2015
ISSN: 1083-3668
DOI: 10.1117/1.jbo.20.4.046004