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