Analysis of Extracting Prior BRDF from MODIS BRDF Data [PDF]
Remote Sensing, 2016 Many previous studies have attempted to extract prior reflectance anisotropy knowledge from the historical MODIS Bidirectional Reflectance Distribution Function (BRDF) product based on land cover or Normalized Difference Vegetation Index (NDVI) data.
Hu Zhang +6 more
doaj +2 more sources
High-Resolution Infrared Reflectance Distribution Measurement Under Variable Temperature Conditions [PDF]
SensorsThe bidirectional reflectance distribution function (BRDF) can effectively characterize the reflectance properties of a target, which can be used to correct infrared remote sensing data and improve the accuracy of remote sensing measurements.
Yujian Yang +6 more
doaj +2 more sources
Developmental Trends in the Application and Measurement of the Bidirectional Reflection Distribution Function [PDF]
Sensors, 2022 The bidirectional reflection distribution function (BRDF) is among the most effective means to study the phenomenon of light–object interaction. It can precisely describe the characteristics of spatial reflection of the target surface, and has been ...
Yangyang Zou +4 more
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Calibration of BRDF Based on the Field Goniometer System Using a UAV Multispectral Camera [PDF]
Sensors, 2022 The bidirectional reflectance distribution function (BRDF) is important for estimating the physical properties of a surface in remote sensing. In the laboratory, the BRDF can be estimated quickly and accurately using a goniometer, but it is very ...
Minji Kim +5 more
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BRDF-NeRF: Neural radiance fields with optical satellite images and BRDF modelling
International Journal of Applied Earth Observations and GeoinformationNeural radiance fields (NeRF) have gained prominence as a machine learning technique for representing 3D scenes and estimating the bidirectional reflectance distribution function (BRDF) from multiple images. However, most existing research has focused on
Lulin Zhang +4 more
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BRDF Data for Coniferous Forests Acquired from Multispectral Camera Onboard a Unmanned Aerial Vehicle [PDF]
Geo Data, 2023 Bidirectional reflectance distribution function (BRDF) is a distribution of directional reflectance for varying viewing and solar geometry. BRDF of a target is important in processing optical image data from satellites, because the observed radiance has ...
Seungil Baek +3 more
doaj +1 more source
Effects of Smoothed BRDF on Multi-angle Albedo Retrievals [PDF]
E3S Web of Conferences, 2022 BRDF as the intrinsic feature of surface targets, is an important parameter required by albedo inversion from multi-angle observations, especially for satellite data suit with less directional measurements. Several studies have shown up to introduce BRDF
Shuai Yanmin +5 more
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CANOPY STRUCTURAL EFFECTS ON BIDIRECTIONAL REFLECTANCE SIMULATED BY THE LESS MODEL: A CASE STUDY OF PICEA CRASSIFOLIA FORESTS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Surface albedo is a dominant factor affecting the earth energy balance. Bidirectional reflectance distribution function (BRDF) describes the anisotropic surface reflection of solar radiation.
Q. Wu +5 more
doaj +1 more source
The Map Data of BRDF-Adjusted Surface Reflectance from GOCI Geostationary Satellite Imagery over Korean Peninsula [PDF]
Geo Data, 2021 In this study, the spatial maps of the BRDF (Bidirectional Reflectance Distribution Function) adjusted surface reflectance (SR) were estimated by using the Geostationary Ocean Color Imager (GOCI) mounted on the Communication, Ocean and Meteorological ...
Jong-Min Yeom
doaj +1 more source
IEEE Transactions on Visualization and Computer Graphics, 2012 Over the last two decades, much effort has been devoted to accurately measuring Bidirectional Reflectance Distribution Functions (BRDFs) of real-world materials and to use efficiently the resulting data for rendering. Because of their large size, it is difficult to use directly measured BRDFs for real-time applications, and fitting the most ...
Pacanowski, Romain +5 more
openaire +4 more sources