Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

A three-day training workshop has opened for some selected postgraduate students of the Kwame Nkrumah University of Science and Technology (KNUST) to acquaint themselves with remote sensing ...

New research reveals that wild disturbances are increasing across America, and these events greatly influenced indirectly by ...

What is Intelligent Image Processing. Intelligent Image Processing is an important branch of computer vision, aimed at enabling computers to 'understand' images like humans do, by ...

Ecologists are increasingly tapping into AI to assist conservation, but many are grappling with how to use these ...

Abstract: Federated learning (FL) enables the collaborative training of deep neural networks across decentralized data archives (i.e., clients) without sharing the local data of the clients. Most of ...

Abstract: Pixel-level classification of remote sensing images is a fundamental task in Earth science-related research. However, current automated models inevitably produce some segmentation errors. In ...

One prominent school of thought, which firmly supports the dialogue option, passionately believes the bandits originally took up arms primarily in response to profound injustices and indiscriminate ...

Chinese spacecraft image Maxar remote sensing and U.S. early warning satellites Chinese spacecraft have imaged orbiting U.S.

Common examples of remote sensing are drone and satellite imagery, as well as handheld devices or sensors mounted on any of ...

Satellite images in different bands cover different wavelength ranges in the electromagnetic spectrum, exhibiting significant ...

Marine vessels significantly impact global economy and air quality. Quantifying their emissions is crucial. Existing imaging ...