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.
Original language | English |
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Article number | 8845665 |
Pages (from-to) | 948-952 |
Number of pages | 5 |
Journal | IEEE Geoscience and Remote Sensing Letters |
Volume | 17 |
Issue number | 6 |
DOIs | |
Publication status | Published - Jun 2020 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Remote sensing
- spectroradiometers
- wavelet transforms