Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Geographic spaces is a vast and complex system involving multiple elements and nonlinear
interactions of these elements, and rich in geographical phenomena, processes and …

Smart technologies are advancing, and smart cities can be made smarter by increasing the
connectivity and interactions of humans, the environment, and smart devices. This paper …

Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …

Remote sensing imagery (RSI) and point of interest (POI) are two complementary data for
urban functional zone (UFZ) extraction. However, current methods only use single data or …

In recent decades, we have witnessed great advances on the Internet of Things, mobile
devices, sensor-based systems, and resulting big data infrastructures, which have gradually …

Most supervised geographic map** methods with very-high-resolution (VHR) images are
designed for a specific task, leading to high label-dependency and inadequate task …

There is tentative evidence suggesting that socioeconomically disadvantaged groups may
benefit more from access to neighbourhood greenspace and therefore could be a lever for …

We are currently living in the era of big data. The volume of collected or archived geospatial
data for land use and land cover (LULC) map** including remotely sensed satellite …

Due to the proliferation of large-scale remote-sensing (RS) archives with multiple
annotations, multilabel RS scene classification and retrieval are becoming increasingly …