caa a22 4500 469084421 CHVBK 20180323133000.0 cr unu---uuuuu 170328e19920901xx s 000 0 eng 10.1007/BF02656948 doi (NATIONALLICENCE)springer-10.1007/BF02656948 On accurate detection of oceanic features from satellite IR data using ICSED method [Elektronische Daten] [Li Jun, Zhou Fengxian] ICSED (Improved Cluster Shade Edge Detection) algorithm and other various methods to accurately and efficiently detect edges on satellite data are presented. Error rate criterion is used to statistically evaluate the performances of these methods in detecting oceanic features for both noise free and noise contaminated AVHRR (Advanced Very High Resolution Radiometer) IR image with Kuroshio. Also, practical experiments in detecting the eddy of Kuroshio with these methods are carried out for comparison. Results show that the ICSED algorithm has more advantages than other methods in detecting mesoscale features of ocean. Finally, the effectiveness of window size of ICSED method to oceanic features detection is quantitatively discussed. Advances in Atmospheric Sciences, 1992 Jun Li Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut Fengxian Zhou Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut Advances in Atmospheric Sciences Springer-Verlag 9/3(1992-09-01), 373-382 0256-1530 9:3<373 1992 9 376 https://doi.org/10.1007/BF02656948 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF02656948 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Jun Li Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut NATIONALLICENCE 700 1- Fengxian Zhou Institute of Atmospheric Physics, Academia Sinica, 100029, Beijing aut NATIONALLICENCE 773 0- Advances in Atmospheric Sciences Springer-Verlag 9/3(1992-09-01), 373-382 0256-1530 9:3<373 1992 9 376 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer