This document introduces the RadIOCD, which is a dataset that contains sparse point cloud representations of indoor objects, collected by subjects wearing a commercial off-the-shelf mmWave radar. In ...

Landform classification studies are prerequisites for recognizing regional geomorphic patterns and are urgently needed to explore the process of landform development and evolution. Taking the Tibetan ...

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Urban trees and urban forests provide a variety of different benefits for a city including decreased energy expenditure, removal of pollutants, and increased property values. Mapping the spatial ...