The unprecedented evolution of artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL), has catalysed transformative ...

BEIJING -- A group of Chinese researchers have designed a Generalized Data Completion Model (GDCM) applicable to multi-source remote sensing data in aiming to solve the missing measurement caused by ...

Abstract: Unsupervised domain adaptation (UDA) for remote sensing image semantic segmentation aims to train a deep model on the labeled source domain and apply it to the unlabeled target domain.

including remote sensing, according to a report from the German media outlet Handelsblatt. The constellation is to be constructed by around 2029, though it is not clear if this refers to starting ...

Are you interested in remote sensing and GIS as research and analysis method? The Remote Sensing and GIS course provides you with knowledge about remote sensing as an anlytical method, practical ...

One of the greatest tools used by oceanographers today for measuring ocean processes is the CTD. CTD stands for Conductivity, Temperature and Depth. Conductivity is a measure of ocean salinity. The ...

The new data from the United Nations Development Programme (UNDP), generated through remote sensing analysis (available here) highlights the extensive destruction caused by the recent magnitude 7.7 ...

For long-distance sensing, the MIT team came up with the idea to engineer cells to produce hyperspectral reporter molecules, which can be detected using hyperspectral cameras. These cameras ...