Comparison of Two Semi-Empirical BRDF algorithms using SPOT/VGT
نویسندگان
چکیده
منابع مشابه
Empirical comparison of two Bayesian lithology–fluid prediction algorithms
We consider a Bayesian model for doing lithology–fluid prediction from prestack (amplitude versus offset) seismic data. Related to the Bayesian model, we look at two inversion algorithms. The first algorithm simulates from the posterior distribution with no approximations, but the algorithm is quite computer demanding. The second inversion algorithm introduces an approximation in the likelihood...
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Surface reflectance of real-world materials is now widely represented by the bidirectional reflectance distribution function (BRDF) and also by spatially varying representations such as SVBRDF and the bidirectional texture function (BTF). The raw surface reflectance measurements are typically compressed or fitted by analytical models, that always introduce a certain loss of accuracy. For its ev...
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Parametric empirical Bayes PEB may perform poorly when the assumed prior distribution is seriously invalid Nonparametric empirical Bayes NEB is more robust since it imposes no restric tion on the prior But compared with the PEB the NEB may be ine cient for small to medium samples due to the large variation and under dispersion of the NPMLE of the prior Using Monte Carlo simulations we compare t...
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ژورنال
عنوان ژورنال: Korean Journal of Remote Sensing
سال: 2013
ISSN: 1225-6161
DOI: 10.7780/kjrs.2013.29.3.3