@article {Eriksson:2006:0143-1161:1793,
title = "Efficient forward modelling by matrix representation of sensor responses",
journal = "International Journal of Remote Sensing",
parent_itemid = "infobike://tandf/tres",
publishercode ="tandf",
year = "2006",
volume = "27",
number = "9",
publication date ="2006-05-01T00:00:00",
pages = "1793-1808",
itemtype = "ARTICLE",
issn = "0143-1161",
eissn = "1366-5901",
url = "https://www.ingentaconnect.com/content/tandf/tres/2006/00000027/00000009/art00005",
doi = "doi:10.1080/01431160500447254",
author = "Eriksson, Patrick and Ekstr{\"o}m, Mattias and Melsheimer, Christian and Buehler, Stefan",
abstract = "The polarization, frequency and spatial responses of the sensor can be considered by calculating the Stokes vector of monochromatic pencil beam radiances for a set of frequencies and viewing directions, and weight these radiances with the instrument responses. This paper presents a highly efficient solution for this calculation procedure. The basic idea is to precalculate a matrix that represents the mapping from polarisation, frequency and spatial values to measured data. Sensor impacts can then be included by a simple matrix multiplication. The full sensor matrix can be obtained by determining the response matrix for the sensor parts individually. Data reduction methods can also be incorporated. A simple method for optimizing the calculation grids is further presented. The described approach for sensor modeling has been implemented in two public available softwares for atmospheric radiative transfer simulations.",
}