Sea Ice Detection by an Unsupervised Method Using Ku- and Ka-Band Radar Data at Low Incidence Angles: First Results

被引：1

作者：

Panfilova, Maria ^{[1
]}

Karaev, Vladimir ^{[1
]}

机构：

[1] Russian Acad Sci, Inst Appl Phys, Nizhnii Novgorod 603950, Russia

来源：

REMOTE SENSING | 2023年 / 15卷 / 14期

关键词：

dual frequency precipitation radar; global precipitation measurement satellite; near nadir normalized radar cross section; sea ice detection; clustering; PASSIVE MICROWAVE; PARAMETERS; SCATTEROMETER;

D O I：

10.3390/rs15143530

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

This paper presents the first results of sea ice detection using the data of Ka- and Ku-band radars at low incidence angles. A classification method based on an unsupervised K-means approach is applied to the arrays of the data for the Arctic and Antarctic regions. Comparison with Advanced Microwave Scanning Radiometer 2 (AMSR-2) data was performed, and the dependence of classification performance was evaluated for incidence angles from 0 & DEG; to 18.15 & DEG;. This paper evaluates the classification accuracy of sea ice detection based on Ku-band, Ka-band, and their combination. Preliminary results indicate that the classification based solely on Ku-band data achieves the best performance.

引用

页数：12

共 22 条

[21] SEA ICE DETECTION USING THE DATA OF SWIM RADAR ONBOARD CFOSAT SATELLITE WITH OTSU METHOD
Panfilova, Maria
Ryabkova, Mariya
Karaev, Vladimir
[J]. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2023, : 161 - 163
[22] EVALUATION OF THE BOUNDARY WAVE NUMBER FOR THE TWO-SCALE MODEL OF BACKSCATTER OF MICROWAVES IN KA-AND KU-BAND BY THE SEA SURFACE USING THE DUAL-FREQUENCY PRECIPITATION RADAR DATA
Panfilova, M. A.
Karaev, V. Yu.
[J]. 2016 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2016, : 3691 - 3694

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