多源遥感信息融合技术是突破单一传感器的观测局限, 实现多平台多模态观测信息互补利用,
生成大场景高“时-空-谱” 无缝的观测数据的重要手段. 随着人工智能理论与技术的日益完善 …

Accurate traffic speed forecasting is a prerequisite for anticipating future traffic status and
increasing the resilience of intelligent transportation systems. However, most studies ignore …

Timely and accurate maps of fine-grained urban villages (UVs) are essential for rational
urban planning, which highlights the importance for automatic recognition methods as …

Accurate activity location prediction is a crucial component of many mobility applications and
is particularly required to develop personalized, sustainable transportation systems. Despite …

Sensing urban spaces from multisource geospatial data is vital to understanding the
transportation system in the urban context. However, the complexity of urban context and its …

As the main form of the new urbanization strategy, urban agglomeration promotes inter-
regional economic development, population flow, and industrial cooperation. It is not only an …

Recent research has shown the advantages of incorporating multisource geospatial data
into the classification of urban functional zones (UFZs), particularly remote sensing and …

Portraying functional urban areas provides useful insights for understanding complex urban
systems and formulating rational urban plans. Mobile phone user trajectory data are often …

The prerequisite for the use of remote sensing images is that their security must be
guaranteed. As a special subset of perceptual hashing, subject-sensitive hashing …

The ability to precisely map urban land use types can significantly aid urban planning and
urban system understanding. In recent years, remote sensing images and social sensing …