Inferring socioeconomic environment from built environment characteristics based street view images: An approach of Seq2Seq method

IF 7.5 1区地球科学 Q1 Earth and Planetary Sciences

International Journal of Applied Earth Observation and Geoinformation Pub Date : 2023-09-01 DOI:10.1016/j.jag.2023.103458

Yan Zhang, Fan Zhang, Libo Fang, Nengcheng Chen

引用次数: 0

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基于街景图像的建筑环境特征推断社会经济环境:一种Seq2Seq方法

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

International Journal of Applied Earth Observation and Geoinformation 地学-遥感

CiteScore

10.20

自引率

8.00%

发文量

审稿时长

7.2 months

期刊介绍： The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.