Land use/land cover (LULC) maps are foundational geospatial data products needed by
analysts and decision makers across governments, civil society, industry, and finance to …

Poverty is the leading cause of social instability around the world. Reducing poverty has
become a crucial objective for global sustainable development. Timely and consistently …

Building change detection in high-resolution satellite images plays a special role in urban
management and development. Recently, methods for building change detection have been …

Building retrofit is an important facet in the drive to reduce global greenhouse gas
emissions. However, delivering building retrofit at scale is a significant challenge, especially …

In regular convolutional neural networks (CNN), fully-connected layers act as classifiers to
estimate the probabilities for each instance in classification tasks. The accuracy of CNNs can …

The unmanned aerial vehicle (UAV)-captured panoptic remote sensing images have great
potential to promote robotics-inspired intelligent solutions for land cover map**, disaster …

Urban tree canopies are fundamental to mitigating the impacts of climate change within
cities as well as providing a range of other important ecosystem, health, and amenity …

Due to the complex interactions of human activity and the hydrological cycle, achieving
urban water security requires comprehensive planning processes that address urban water …

Planetary rover systems need to perform terrain segmentation to identify feasible driving
areas and surround obstacles, which falls into the research area of semantic segmentation …

Image super-resolution (SR) techniques can benefit a wide range of applications in the
remote sensing (RS) community, including image classification. This issue is particularly …