Geocomputation and geospatial artificial intelligence (GeoAI) have essential roles in
advancing geographic information science (GIS) and Earth observation to a new stage …

To estimate electricity generation and evaluate the socio-economic effects of solar
photovoltaic (PV) systems, it is critical to calculate the installed PV areas and quantify the …

Rooftop photovoltaics (PV) are playing an increasingly important role in building a clean and
decarbonized energy system. For such distributed resources, formulating scientific …

Accurate information on the location, shape, and size of photovoltaic (PV) arrays is essential
for optimal power system planning and energy system development. In this study, we …

Automatically extracting 2D buildings from high-resolution remote sensing images is among
the most popular research directions in the area of remote sensing information extraction …

Deep learning algorithms offer an effective solution to the inefficiencies and poor results of
traditional methods for building a footprint extraction from high-resolution remote sensing …

The extraction of buildings from remote sensing images is a challenging task. However,
existing methods are insufficiently accurate because of the diverse types of buildings, large …

Few-shot semantic segmentation has attracted increasing attention due to its potential for
low dependence on annotated samples. While extensively explored in the computer vision …

Semantic segmentation with deep learning networks has become an important approach to
the extraction of objects from very high-resolution remote sensing images. Vision …

Automatic building extraction from high resolution remains challenging for widely
applications. Previous studies have reviewed building extraction methods, but rapid …