Semantic change detection (SCD) holds a critical place in remote sensing image
interpretation, as it aims to locate changing regions and identify their associated land cover …

Reservoirs play a critical role in terrestrial hydrological systems, but the contribution of small
and medium-sized ones is rarely considered and recorded. Particularly in developing …

The early warning of fires is pivotal for preventing substantial economic losses and
ecological damage. However, the enhancement of fire model generalization performance …

This study aims to investigate the application of Rapid Application Development (RAD) in
developing a spatio-temporal database management system, focusing on a case study in …

In naval and civilian domains, meticulous ship classification and detection are paramount.
Nevertheless, predominant research has gravitated toward leveraging Convolutional Neural …

Image-text retrieval (ITR) plays a significant role in making informed decisions for various
remote sensing (RS) applications. Nonetheless, creating ITR datasets containing vision and …

Earth observation satellites offer vast opportunities for quantifying landscapes and regional
land cover composition and changes. The integration of artificial intelligence in remote …

Political viewpoints on artificial intelligence, particularly in countries adopting AI The
technical view recognizes the importance of information and communication technology as …

With the development of science and technology, edge computing and big data privacy
protection are more and more widely used in various fields. The application of big data …