Functional Data Analysis of Multi-Angular Hyperspectral Data on Vegetation

摘要: Abstract - The surface reflectance anisotropy can be estimated by directional analysis through the collection of multi-angular spectral data. Proper characterization is an important element in successful interpretation remotely sensed signals. A signal received a sensor from vegetation canopy affected several factors. One them zenith angle. Functional data used to assess distribution and variation due This paper examines effect angles on vegetation, example cotton leaves. spectra were acquired green house trial order address question ‘how much information obtained hyperspectral remote sensing vegetation?’ goals functional applied this examine Data Analysis approach was cotton, highlighting various characteristics view angles, infer outcome or dependent variable with different angles.