Results 91 to 100 of about 5,784 (209)

Phong BRDF Modeli ile Gerçek Zamanlı Işıklandırma

, 2019
In this paper, we propose a novel real-time Bidirectional Reflectance Distribution Function (BRDF) shading interface for creating isotropic BRDFs in image-based lighting.
Kurt, Murat
core   +1 more source

Comparison of microfacet BRDF model elements to diffraction BRDF model elements

, 2015
A popular class of BRDF models is the microfacet model, where geometric optics is assumed, but where physical optics effects such as accurate wavelength scaling, important to Hyperspectral Imagery, are lost.
Michael A. Marciniak, Nauyoks, Stephen E., Samuel D. Butler, Stephen E. Nauyoks, Marciniak, Michael A., Butler, Samuel D.   +5 more
core   +1 more source

Characterization of Scale Effects and Determination of Optimal Observation Scales for Bidirectional Reflectance in High-Resolution Remote Sensing of Land Surfaces

Remote Sensing
Land surface bidirectional reflectance distribution functions (BRDF) are critical for quantitative remote sensing but are significantly constrained by scale effects, limiting the interoperability of multi-resolution data and the accuracy of quantitative ...
Weikang Zhang, Hongtao Cao, Jianjun Wu, Xingfa Gu, Chang Wang, Menghao Zhang, Yanmei Wang, Chengcheng Zhang   +7 more
doaj   +1 more source

Analytical fitting model for rough-surface BRDF [PDF]

, 2008
A physics-based model is developed for rough surface BRDF, taking into account angles of incidence and scattering, effective index, surface autocovariance, and correlation length.
Boreman, Glenn D., Renhorn, Ingmar G. E.
core   +1 more source

Bidirectional Reflectance Sensitivity to Hemispherical Samplings: Implications for Snow Surface BRDF and Albedo Retrieval

Remote Sensing
Multi-angular remote sensing plays a critical role in the study domains of ecological monitoring, climate change, and energy balance. The successful retrieval of the surface Bidirectional Reflectance Distribution Function (BRDF) and albedo from multi ...
Jing Guo, Ziti Jiao, Anxin Ding, Zhilong Li, Chenxia Wang, Fangwen Yang, Ge Gao, Zheyou Tan, Sizhe Chen, Xin Dong   +9 more
doaj   +1 more source

Synergizing BRDF correction and deep learning for enhanced crop classification in GF-1 WFV imagery

Frontiers in Remote Sensing
Accurate crop classification is essential for agricultural management, resource allocation, and food security monitoring. GF-1 Wide Field View (WFV) imagery suffers from Bidirectional Reflectance Distribution Function (BRDF) effects due to large viewing ...
Yuanwei Chen, Yang Li, Runze Li, Chongzheng Guo, Jilin Li   +4 more
doaj   +1 more source

Importance Sampling BRDF Derivatives

ACM Transactions on Graphics
We propose a set of techniques to efficiently importance sample the derivatives of a wide range of Bidirectional Reflectance Distribution Function (BRDF) models. In differentiable rendering, BRDFs are replaced by their differential BRDF counterparts, which are real-valued and can have negative values. This leads to a new source of variance arising from
Yash Belhe, Bing Xu, Sai Praveen Bangaru, Ravi Ramamoorthi, Tzu-Mao Li   +4 more
openaire   +3 more sources

BRDF plot, Figure 2a

, 2017
Matlab file for opening BRDF data called S17_grn_BRDF_around_incTheta_8.mat and plotting like Figure 2a.
Amanda L. Holt (3262902), Sweeney, Alison M., Alison M. Sweeney (1263372), Eric I. Rosenthal (5051546), Rosenthal, Eric I., Holt, Amanda L.   +5 more
core   +1 more source

Multi-Level Spectral Attention Network for Hyperspectral BRDF Reconstruction from Multi-Angle Multi-Spectral Images

Remote Sensing
With the rapid development of hyperspectral applications using unmanned aerial vehicles (UAVs), the traditional assumption that ground objects exhibit Lambertian reflectance is no longer sufficient to meet the high-precision requirements for quantitative
Liyao Song, Haiwei Li
doaj   +1 more source

Road BRDF Construction From Measured R-Tables

, 2022
International audienceTwo r-table extrapolation methods are presented. One based on the evolution of the brightness as a function of the observation angle α and the other based on the addition of correlated variables, the relative angles.
Lileke, Steve, Greffier, Florian, Boucher, Vincent, Lebouc, Laure   +3 more
core   +1 more source