Results 21 to 30 of about 254,314 (265)
To extract blue roofs (BRs) from remote sensing images quickly, first, this study used WorldView-2 and WorldView-3 as the data sources and created a new BR spectral area model (BRSAM) using the polygon area difference between the spectral curves of BRs ...
Huaipeng Liu, Xiaoqing Zuo
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A Spectral Model of Turnover Reduction [PDF]
We give a simple explicit formula for turnover reduction when a large number of alphas are traded on the same execution platform and trades are crossed internally. We model turnover reduction via alpha correlations. Then, for a large number of alphas, turnover reduction is related to the largest eigenvalue and the corresponding eigenvector of the alpha
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Spectral Methods for Nonparametric Models
Keywords: Spectral Methods, Indian Buffet Process, Hierarchical Dirichlet ...
Hsiao-Yu Fish Tung +3 more
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Spectral compressive sensing with model selection [PDF]
5 pages, 2 figures, 1 table, published in ICASSP ...
Zhenqi Lu +5 more
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The accurate classification of wetland vegetation is essential for rapid assessment and management. The Honghe National Nature Reserve (HNNR), located in Northeast China, was studied.
Man Liu +7 more
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Non-destructive monitoring of amylose content in rice by UAV-based hyperspectral images
Amylose content (AC) is an important indicator for rice quality grading. The rapid development of unmanned aerial vehicle (UAV) technology provides rich spectral and spatial information on observed objects, making non-destructive monitoring of crop ...
Fumin Wang +8 more
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Maximum flatness spectral modeling [PDF]
Peer ...
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Spectral-based printer modeling and characterization [PDF]
Spectral characterization involves building a model that relates the device dependent representation to the reflectance func- tion of the printed color, usually represented with a high number of reflectance samples at different wavelengths. Look-up table-based approaches, conventionally employed for colorimetric device char- acterization cannot be ...
Silvia Zuffi +2 more
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A predictive model for the spectral “bioalbedo” of snow [PDF]
AbstractWe present the first physical model for the spectral “bioalbedo” of snow, which predicts the spectral reflectance of snowpacks contaminated with variable concentrations of red snow algae with varying diameters and pigment concentrations and then estimates the effect of the algae on snowmelt.
J. M. Cook +4 more
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A spectral model for multimodal redshift estimation [PDF]
We present a physically inspired model for the problem of redshift estimation. Typically, redshift estimation has been treated as a regression problem that takes as input magnitudes and maps them to a single target redshift. In this work we acknowledge the fact that observed magnitudes may actually admit multiple plausible redshifts, i.e.
Sven Dennis Kügler +2 more
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