Beyond satellite imagery: the influence of map representations on socio-economic prediction

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2024-06-17 DOI:10.1080/2150704x.2024.2359097

David Koch, Simon Thaler, Zedong Zhang, Miroslav Despotovic

引用次数: 0

Abstract

Incorporating satellite imagery is crucial for remote sensing and computer vision in socio-economic studies. Machine learning techniques are typically used to extract valuable information from sate...

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超越卫星图像：地图表示法对社会经济预测的影响

在社会经济研究中，结合卫星图像对遥感和计算机视觉至关重要。机器学习技术通常用于从卫星图像中提取有价值的信息。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.