Satellite SAR Data-based Sea Ice Classification: An Overview

被引：92
|
作者：
Zakhvatkina, Natalia [1 ,2 ]
Smirnov, Vladimir [1 ]
Bychkova, Irina [1 ]
机构：
[1] Arctic & Antarctic Res Inst, St Petersburg 199397, Russia
[2] Nansen Int Environm Remote Sensing Ctr, St Petersburg 199034, Russia
来源：
GEOSCIENCES | 2019年 / 9卷 / 04期
关键词：
sea ice cover; satellite remote sensing; SAR data processing; sea ice classification; L-BAND SAR; OPEN WATER DISCRIMINATION; TEXTURE STATISTICS; NEURAL-NETWORKS; DUAL-FREQUENCY; IMAGE; SEGMENTATION; SENTINEL-1; THICKNESS; FEATURES;
D O I：
10.3390/geosciences9040152
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
A review of the main approaches developed for sea ice classification using satellite imagery is presented. Satellite data are the main and very often only information source for sea ice classification and charting in the remote arctic regions. The main techniques used for ice classification and ice charting in several national ice services are considered. Advantages and disadvantages of various SAR data-based methods for ice classification are analyzed. It is shown that an increase of SAR technical abilities contributes to the enhancement of sea ice classification reliability. The possible further development of satellite data-based methods for ice classification is discussed.
引用
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页数：15
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