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Temporal constraints on linear BRDF model parameters

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Quaife, T. and Lewis, P. (2010) Temporal constraints on linear BRDF model parameters. IEEE Transactions on Geoscience and Remote Sensing, 48 (5). pp. 2445-2450. ISSN 0196-2892

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To link to this article DOI: 10.1109/TGRS.2009.2038901

Abstract/Summary

Linear models of bidirectional reflectance distribution are useful tools for understanding the angular variability of surface reflectance as observed by medium-resolution sensors such as the Moderate Resolution Imaging Spectrometer. These models are operationally used to normalize data to common view and illumination geometries and to calculate integral quantities such as albedo. Currently, to compensate for noise in observed reflectance, these models are inverted against data collected during some temporal window for which the model parameters are assumed to be constant. Despite this, the retrieved parameters are often noisy for regions where sufficient observations are not available. This paper demonstrates the use of Lagrangian multipliers to allow arbitrarily large windows and, at the same time, produce individual parameter sets for each day even for regions where only sparse observations are available.

Item Type:Article
Refereed:Yes
Divisions:No Reading authors. Back catalogue items
Faculty of Science > School of Mathematical and Physical Sciences > Department of Meteorology
ID Code:28470
Publisher:IEEE Geoscience and Remote Sensing Society

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