Multimodal remote sensing (RS) image land use/land cover (LULC) classification using optical and synthetic aperture radar (SAR) images has raised attention in recent studies. Current methods primarily ...

Convolutional neural networks (CNNs) is widely adopted for remote sensing image scene classification. However, labeling of large annotated remote sensing datasets is costly and time consuming, which ...

We're one of the top ten Geography departments in the UK (QS World University Rankings by Subject 2021). Develop advanced theoretical geographical information science (GIS) knowledge and understanding ...

This repository is a comprehensive resource for learning the fundamentals of remote sensing, combining detailed study notes with interactive and static visualization tools. It is designed for students ...

In this article I investigate the theoretical properties and applications of the frequency polygon, which is constructed by connecting with straight lines the mid-bin values of a histogram. For ...