26 July 2016 Advanced GLS map-making for the Herschel’s photometers
Author Affiliations +
We discuss Generalised Least Squares (GLS) map-making for the data of the Herschel satellite’s photometers, which is a difficult task, due to the many disturbances affecting the data, and requires appropriate pre- and post-processing. Taking an existing map-maker as a reference, we propose several advanced techniques, which can improve both the quality of the estimate and the efficiency of the software. As a main contribution we discuss two disturbances, which have not been studied yet and may be detrimental to the image quality. The first is a data shift, due to delays in the timing system or in the processing chain. The second is a random noise, termed pixel noise, due to the jitter and the approximation of the pointing information. For both these disturbances, we develop a mathematical model and propose a compensation method. As an additional contribution, we note that the performance can be improved by properly adapting the algorithm parameters to the data being processed and discuss an automatic setting method. We also provide a rich set of examples and experiments, illustrating the impact of the proposed techniques on the image quality and the execution speed.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lorenzo Piazzo, Lorenzo Piazzo, Maria Carmela Raguso, Maria Carmela Raguso, Marco Mastrogiuseppe, Marco Mastrogiuseppe, Luca Calzoletti, Luca Calzoletti, Bruno Altieri, Bruno Altieri, } "Advanced GLS map-making for the Herschel’s photometers", Proc. SPIE 9913, Software and Cyberinfrastructure for Astronomy IV, 991326 (26 July 2016); doi: 10.1117/12.2232424; https://doi.org/10.1117/12.2232424


Simulation of images of some natural objects
Proceedings of SPIE (August 26 1993)
Managing and querying whole slide images
Proceedings of SPIE (February 16 2012)
On latent fingerprint enhancement
Proceedings of SPIE (April 14 2010)
Towards real-time image quality assessment
Proceedings of SPIE (February 02 2011)

Back to Top