Solar photovoltaic (PV) system, as one kind of the most promising renewable energy
technologies, plays a key role in reducing carbon emissions to achieve the targets of global …

Photovoltaic (PV) solar energy generating capacity has grown by 41 per cent per year since
2009 1. Energy system projections that mitigate climate change and aid universal energy …

We introduce a new large-scale dataset for the advancement of object detection techniques
and overhead object detection research. This satellite imagery dataset enables research …

The computer vision system is the technology that deals with identifying and detecting the
objects of a particular class in digital images and videos. Local feature detection and …

This study presents a novel approach to detect the city-wide solar potential which utilizes
image segmentation with deep learning technology unlike traditional methods. In order to …

Building detection from satellite multispectral imagery data is being a fundamental but a
challenging problem mainly because it requires correct recovery of building footprints from …

The potential of shortwave infrared (SWIR) remote sensing to detect hotspots has been
investigated using satellite data for decades. The hotspots detected by satellite SWIR …

Transitioning to a sustainable energy system poses a massive challenge to communities,
nations, and the global economy in the next decade and beyond. A growing portfolio of …

Check dams are widely used on the Loess Plateau of China to control soil and water loss,
develop agricultural land and improve watershed ecology. Detailed information on the …

High-level feature extraction and hierarchical feature representation of image objects with a
convolutional neural network (CNN) can overcome the limitations of the traditional building …