Translator Disclaimer
Paper
18 September 1997 Modeling and change-point detection for satellite instrumentation calibration coefficient time series: an example based on Landsat-5 thematic mapper data
Author Affiliations +
Abstract
The purpose of this study is to propose and study algorithms for off-line trend monitoring and change-point detection for calibration coefficient data streams. This type of algorithm is suitable for monitoring different sensors e.g. AVHRR, ETM+ and MODIS. Based on these algorithms we can produce flags for he instruments indicating normal and abnormal behavior. These algorithms can also help to discover trends and features in the calibration data. Some of these algorithms will be used by the Landsat-7 ETM+ Image Assessment System and the EOS AM1 MODIS calibration system for modeling the gain behavior of the instruments over time. Mathematically we used quadratic splines and statistical concepts for building incremental models.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jan Smid, Petr Volf, Brian L. Markham, and Jennifer C. Seiferth "Modeling and change-point detection for satellite instrumentation calibration coefficient time series: an example based on Landsat-5 thematic mapper data", Proc. SPIE 3117, Earth Observing Systems II, (18 September 1997); https://doi.org/10.1117/12.278921
PROCEEDINGS
9 PAGES


SHARE
Advertisement
Advertisement
RELATED CONTENT

TIRS stray light correction: algorithms and performance
Proceedings of SPIE (September 08 2015)
Algorithms and analysis tools for Landsat detector trending
Proceedings of SPIE (December 04 1998)
Calibration, regression models, and the Web
Proceedings of SPIE (March 13 2003)
Radiometric calibration status of Landsat-7 and Landsat-5
Proceedings of SPIE (October 17 2007)
Stability of Landsat-4 thematic mapper outgassing models
Proceedings of SPIE (September 08 2006)

Back to Top