SAR and Passive Microwave Fusion Scheme: A Test Case on Sentinel-1/AMSR-2 for Sea Ice Classification

被引：5

作者：

Khachatrian, Eduard ^{[1
]}

Dierking, Wolfgang ^{[1
,2
]}

Chlaily, Saloua ^{[1
]}

Eltoft, Torbjorn ^{[1
]}

Dinessen, Frode ^{[3
]}

Hughes, Nick ^{[3
]}

Marinoni, Andrea ^{[1
]}

机构：

[1] UiT Arctic Univ Norway, Dept Phys & Technol, Tromso, Norway

[2] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Bremerhaven, Germany

[3] Norwegian Meteorol Inst, Tromso, Norway

来源：

GEOPHYSICAL RESEARCH LETTERS | 2023年 / 50卷 / 04期

关键词：

remote sensing; sea ice; data fusion; passive microwave radiometer; SAR; unsupervised information selection; SELECTION;

D O I：

10.1029/2022GL102083

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

The most common source of information about sea ice conditions is remote sensing data, especially images obtained from synthetic aperture radar (SAR) and passive microwave radiometers (PMR). Here we introduce an adaptive fusion scheme based on Graph Laplacians that allows us to retrieve the most relevant information from satellite images. In a first test case, we explore the potential of sea ice classification employing SAR and PMR separately and simultaneously, in order to evaluate the complementarity of both sensors and to assess the result of a combined use. Our test case illustrates the flexibility and efficiency of the proposed scheme and indicates an advantage of combining AMSR-2 89 GHz and Sentinel-1 data for sea ice mapping.

引用

页数：7

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