Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression
نویسندگان
چکیده
منابع مشابه
Exploring the Best Hyperspectral Features for LAI Estimation Using Partial Least Squares Regression
The use of spectral features to estimate leaf area index (LAI) is generally considered a challenging task for hyperspectral data. In this study, the hyperspectral reflectance of winter wheat was selected to optimize the selection of spectral features and to evaluate their performance in modeling LAI at various growth stages during 2008 and 2009. We extracted hyperspectral features using differe...
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2014
ISSN: 2072-4292
DOI: 10.3390/rs6076221