Temporal constraints on linear BRDF model parameters

Quaife, T. ORCID: https://orcid.org/0000-0001-6896-4613 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 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
URI	https://reading-clone.eprints-hosting.org/id/eprint/28470
Item Type	Article
Refereed	Yes
Divisions	No Reading authors. Back catalogue items Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	IEEE Geoscience and Remote Sensing Society
Download/View statistics	View download statistics for this item