Remote sensing

Local–global dual attention network (LGANet) for population estimation using remote sensing imagery

Accurate and rapid censuses can provide detailed basic information for a country, which is useful for resource allocation, disease control, disaster prevention, urban planning, and business management. However, traditional censuses often take up much …

An SOE-Based Learning Framework Using Multisource Big Data for Identifying Urban Functional Zones

Identifying urban functional zones is of great significance for understanding urban structure and urban planning. The rapid growth and open accessibility of multisource big data, including remote sensing imagery and social sensing data, lead to a new …

An Ensemble Learning Approach for Urban Land Use Mapping Based on Remote Sensing Imagery and Social Sensing Data

Urban land use mapping is crucial for effective urban management and planning due to the rapid change of urban processes. State-of-the-art approaches rely heavily on the socioeconomic, topographical, infrastructural and land cover information of …

Mapping Human Activity Volumes Through Remote Sensing Imagery

The spatial concentration of the human activity is a crucial indication of socioeconomic vitality. Accurately mapping activity volumes is fundamental to support the regional sustainable development. Current approaches rely on mobile positioning data, …