期刊
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
卷 44, 期 3, 页码 719-728出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TGRS.2005.862505
关键词
neural network; ocean color; water leaving-radiance
In situ autonomous systems are commonly used for the collection of measurements for the vicarious calibration of satellite data and the successive validation of derived products. However, the use of autonomous systems creates the need of assessing the quality of the large volume of collected data. Within the framework of ocean color activities, this work investigates the consistency of, normalized water leaving radiances spectra produced from measurements taken with an above-water autonomous system installed on an oceanographic tower. The study has shown the need of addressing the problem under two different levels of inference. The first level, so-called self-consistency, has demonstrated the capability of identifying spectra with a. low statististical representatitiveness within the dataset itself. The second level, so-called relative-consistency, has provided the possibility of evaluating wheter a spectrum is relatively consistent to a reference set of quality-assured data.
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