Spectral Reflectance Processing via Local Wavelength-Direction Correlations

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http://hdl.handle.net/10138/315663

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Xu , G , Gritsevich , M , Peltoniemi , J , Penttilä , A , Ihalainen , O , Wilkman , O & Muinonen , K 2020 , ' Spectral Reflectance Processing via Local Wavelength-Direction Correlations ' , IEEE Geoscience and Remote Sensing Letters , vol. 17 , no. 6 , pp. 948-952 . https://doi.org/10.1109/LGRS.2019.2939228

Title: Spectral Reflectance Processing via Local Wavelength-Direction Correlations
Author: Xu, Guanglang; Gritsevich, Maria; Peltoniemi, Jouni; Penttilä, Antti; Ihalainen, Olli; Wilkman, Olli; Muinonen, Karri
Contributor: University of Helsinki, Particle Physics and Astrophysics
University of Helsinki, Department of Physics
University of Helsinki, Department of Physics
University of Helsinki, Particle Physics and Astrophysics
University of Helsinki, Finnish Geospatial Research Institute FGI
University of Helsinki, Department of Physics
Date: 2020-06
Language: eng
Number of pages: 5
Belongs to series: IEEE Geoscience and Remote Sensing Letters
ISSN: 1545-598X
URI: http://hdl.handle.net/10138/315663
Abstract: The spectral bidirectional reflectance distribution function (BRDF) maps incident radiation of a surface to its outgoing counterpart at different wavelengths. This function plays a fundamental role in characterizing the various types of earth surfaces. Due to its high dimensionality, the measurements, analysis, and simulation of spectral BRDF are challenging. In this letter, we introduce a new method for processing spectral reflectance using the so-called data-adjacency, i.e., the correlation between adjacent wavelengths and viewing directions. The results show that the benefits of efficient representation, noise reduction, and analysis capability can all be integrated to the data.
Subject: BRDF
CONSTRUCTION
LIFTING SCHEME
REPRESENTATION
Remote sensing
spectroradiometers
wavelet transforms
114 Physical sciences
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