Urban land-use analysis using proximate sensing imagery: a survey

Urban regions are complicated functional systems that are closely associated with and reshaped by human activities. The propagation of online geographic information-sharing platforms and mobile devices equipped with the Global Positioning System (GPS) greatly proliferates proximate sensing images taken near or on the ground at a close distance to urban targets. Studies leveraging proximate sensing images have demonstrated great potential to address the need for local data in the urban land-use analysis. This paper reviews and summarizes the state-of-the-art methods and publicly available data sets from proximate sensing to support land-use analysis. We identify several research problems in the perspective of examples to support the training of models and means of integrating diverse data sets. Our discussions highlight the challenges, strategies, and opportunities faced by the existing methods using proximate sensing images in urban land-use studies.

城市区域是复杂的功能系统，与人类活动紧密关联并受其重塑。随着在线地理信息共享平台与搭载全球定位系统（Global Positioning System, GPS）的移动设备的普及，贴近城市目标、在近地面或地面拍摄的近景遥感影像（proximate sensing images）的数量大幅增长。依托近景遥感影像开展的研究已展现出巨大潜力，可满足城市土地利用分析中的本地数据需求。本文综述并梳理了近景遥感领域用于支撑土地利用分析的前沿方法与公开可用数据集。本文从支撑模型训练的示例构建以及多数据集融合手段两个维度，识别出若干研究问题。本次讨论着重阐述了近景遥感影像在城市土地利用研究现有方法中所面临的挑战、可行策略与发展机遇。