DocumentCode :
110295
Title :
Airborne Prism Experiment Calibration Information System
Author :
Hueni, Andreas ; Lenhard, Karim ; Baumgartner, Andreas ; Schaepman, Michael E.
Author_Institution :
Remote Sensing Labs., Univ. of Zurich, Zurich, Switzerland
Volume :
51
Issue :
11
fYear :
2013
fDate :
Nov. 2013
Firstpage :
5169
Lastpage :
5180
Abstract :
The calibration of remote sensing instruments is a crucial step in the generation of products tied to international reference standards. Calibrating imaging spectrometers is particularly demanding due to the high number of spatiospectral pixels and, consequently, the large amount of data acquired during calibration sequences. Storage of these data and associated meta-data in an organized manner, as well as the provision of efficient tools for the data analysis and fast and repeatable calibration coefficient generation with provenance information, is key to the provision of traceable measurements. The airborne prism experiment (APEX) calibration information system is a multilayered information technology solution comprising a database based on the entity-attribute-value (EAV) paradigm and software written in Java and Matlab, providing data access, visualization and processing, and handling the data volumes over the expected lifetime of the system. Although developed in the context of APEX, the system is rather generic and may be adapted to other pushbroom-based imagers with little effort.
Keywords :
calibration; geographic information systems; geophysics computing; remote sensing; APEX calibration information system; EAV paradigm; EAV software; airborne prism experiment; calibration coefficient generation; entity-attribute-value paradigm; imaging spectrometer calibration; international reference standards; multilayered information technology solution; product generation; pushbroom-based imagers; remote sensing instrument calibration; spatiospectral pixels; Calibration; Databases; Imaging; Instruments; Remote sensing; Servers; Standards; Imaging spectroscopy; relational database; sensor calibration;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2013.2246575
Filename :
6488863
Link To Document :
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