DocumentCode :
2236808
Title :
Sensitivity analysis of radiometrical calibration model to system settings based on field imaging spectrometers
Author :
Huang, Changping ; Zhang, Lifu ; Tong, Qingxi
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China
fYear :
2012
fDate :
22-27 July 2012
Firstpage :
4801
Lastpage :
4804
Abstract :
Accurate radiometric calibration (RC) of a scientific sensor is of crucial importance in ensuring the credibility of its products or comparing results derived from different sensors or times. It´s found that variations of optional system imaging settings may affect the sensor´s radiometric calibration results. However, previous researches seldom emphasized their influences on current RC models. From this point, this paper conducted sensitivity analyses of the RC model to three key optional system settings referring to the integration time (t), aperture (F) and detector temperature (T) using our newly developed Field Imaging Spectrometer System (FISS). Quantitative determinations of their influences on sensor radiometric coefficients were respectively implemented. Results indicated that the three system settings play important roles in the detector´s radiometric response and change RC coefficients in different ways. Finally, an operational RC model taking into account the sensor´s imaging settings is initially discussed.
Keywords :
calibration; geophysical equipment; radiometry; sensitivity analysis; spectrometers; detector radiometric response; detector temperature; field imaging spectrometer system; integration time; optional system imaging settings; radiometric calibration models; scientific sensor; sensitivity analyses; sensor imaging settings; sensor radiometric calibration; sensor radiometric coefficients; Calibration; Detectors; Imaging; Mathematical model; Radiometry; Remote sensing; Satellites; Imaging spectrometer; radiometric calibration; sensitivity analysis; system settings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
ISSN :
2153-6996
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2012.6352539
Filename :
6352539
Link To Document :
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