超越卫星图像：地图表示法对社会经济预测的影响

IF 1.4 4区地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Remote Sensing Letters Pub Date : 2024-06-17 DOI:10.1080/2150704x.2024.2359097

David Koch, Simon Thaler, Zedong Zhang, Miroslav Despotovic

引用次数: 0

摘要

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

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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来源期刊

Remote Sensing Letters REMOTE SENSING-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

CiteScore

4.10

自引率

4.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Remote Sensing Letters is a peer-reviewed international journal committed to the rapid publication of articles advancing the science and technology of remote sensing as well as its applications. The journal originates from a successful section, of the same name, contained in the International Journal of Remote Sensing from 1983 –2009. Articles may address any aspect of remote sensing of relevance to the journal’s readership, including – but not limited to – developments in sensor technology, advances in image processing and Earth-orientated applications, whether terrestrial, oceanic or atmospheric. Articles should make a positive impact on the subject by either contributing new and original information or through provision of theoretical, methodological or commentary material that acts to strengthen the subject.