Mountain environments feature steep terrain, variable climates, and diverse ecosystems, making traditional data collection ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has developed a novel method to generate highly detailed three-dimensional (3D) city models ...

Deep learning-based high-resolution remote sensing for farmland extraction is a crucial method for obtaining large-scale farmland information. However, variations in crop types, growth conditions, and ...

Invisible to the untrained eye, DFOS technology turns standard fiber optic cables into long-range, high-resolution sensing ...

Semantic segmentation of high-resolution remote sensing images is vital in downstream applications such as land-cover mapping, urban planning, and disaster assessment. Existing Transformer-based ...

A wide range of AI models, including traditional machine learning techniques and deep learning frameworks like YOLO, CNNs, ...

DIGIPIN code is designed to be as short as possible while retaining high accuracy. Users can generate their DIGIPIN using ...

As glaciers retreat due to a rise in global temperatures, one study shows that detailed 3D elevation models could drastically ...