Spectral Reflectance Processing via Local Wavelength-Direction Correlations

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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 organization: Particle Physics and Astrophysics
Department of Physics
Planetary-system research
Date: 2020-06
Language: eng
Number of pages: 5
Belongs to series: IEEE Geoscience and Remote Sensing Letters
ISSN: 1545-598X
DOI: https://doi.org/10.1109/LGRS.2019.2939228
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
Peer reviewed: Yes
Usage restriction: openAccess
Self-archived version: acceptedVersion


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