Statistical Linear Destriping of Satellite-Based Pushbroom-Type Images

• Published in: IEEE transactions on geoscience and remote sensing Vol. 48; no. 4; pp. 1860 - 1871
• Main Authors: Carfantan, H., Idier, J.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-04-2010; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied geophysics; Calibration; Computational efficiency; Computer Science; Detectors; Earth sciences; Earth, ocean, space; Engineering Sciences; estimation; Exact sciences and technology; Filtering; Gain; gain measurement; Image resolution; image restoration; Image sensors; Imaging; Instruments; Internal geophysics; Radiometry; Remote sensing; Satellite broadcasting; Satellites; Sensor phenomena and characterization; Signal and Image Processing; Training; Wiener filter; satellites; estimation; image sensors; cost; gain measurement; image restoration; radiometry; accuracy; calibration
• ISSN: 0196-2892; 1558-0644
• DOI: 10.1109/TGRS.2009.2033587

This paper introduces a new self-calibration destriping technique for pushbroom-type satellite imaging systems. Self-calibration means that no specific training data are required. It is based on the statistical estimation of each detector gain from the observed image, assuming a linear response. Both theoretical and practical behaviors are studied. Our technique is shown to outperform simpler techniques based on column averages in terms of gain estimation precision while keeping the computational cost within admissible limits.