An Analysis of the Side Slither On-Orbit Calibration Technique Using the DIRSIG Model

Remote Sensing

Aaron Gerace³  John Schott³  Michael Gartley³  Matthew Montanaro¹  Brian Markham²  James C. Storey²  Ron Morfitt² 

[1] Sigma Space Corporation, NASA Goddard Space Flight Center, 8800 Greenbelt Rd., Greenbelt, MD 20771, USA; E-Mail:Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, 54 Lomb Memorial Drive, Rochester, NY 14624, USA;;Chester F. Carlson Center for Imaging Science, Rochester Institute of Technology, 54 Lomb Memorial Drive, Rochester, NY 14624, USA; E-Mails:

关键词: side slither;    90 degree yaw;    Landsat 8;    OLI;    TIRS;    DIRSIG;    calibration;   

DOI  :  10.3390/rs61110523

来源: mdpi

【 摘 要 】

Pushbroom-style imaging systems exhibit several advantages over line scanners when used on space-borne platforms as they typically achieve higher signal-to-noise and reduce the need for moving parts. Pushbroom sensors contain thousands of detectors, each having a unique radiometric response, which will inevitably lead to streaking and banding in the raw data. To take full advantage of the potential exhibited by pushbroom sensors, a relative radiometric correction must be performed to eliminate pixel-to-pixel non-uniformities in the raw data. Side slither is an on-orbit calibration technique where a 90-degree yaw maneuver is performed over an invariant site to flatten the data. While this technique has been utilized with moderate success for the QuickBird satellite [1] and the RapidEye constellation [2], further analysis is required to enable its implementation for the Landsat 8 sensors, which have a 15-degree field-of-view and a 0.5% pixel-to-pixel uniformity requirement. This work uses the DIRSIG model to analyze the side slither maneuver as applicable to the Landsat sensor. A description of favorable sites, how to adjust the maneuver to compensate for the curvature of “linear” arrays, how to efficiently process the data, and an analysis to assess the quality of the side slither data, are presented.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.