Special focus on deep learning in remote sensing image processing

被引：1

作者：

Feng XU ^{[1
]}

Cheng HU ^{[2
]}

Jun LI ^{[3
]}

Antonio PLAZA ^{[4
]}

Mihai DATCU ^{[5
]}

机构：

[1] Fudan University

[2] Beijing Institute of Technology

[3] Sun Yat-sen University

[4] University of Extremadura

[5] German Aerospace Center

来源：

Science China(Information Sciences) | 2020年 / 63卷 / 04期

关键词：

image; Special focus on deep learning in remote sensing image processing;

D O I：

暂无

中图分类号：

TP751 [图像处理方法]; TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

As a newly emerging technology, deep learning is a very promising field in big data applications. Remote sensing applications often involve huge volume data obtained daily by numerous in-orbit satellites. This makes it a perfect area for data-driven applications. Over the past years, there has been an exponentially increasing interest in deep learning for remote sensing image processing, including not only optical imagery but also synthetic aperture radar (SAR) imagery. In addition to the rapidly growing size and spectral,

引用

页码：5 / 6

页数：2

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