Change detection is a key task in Earth observation applications. Recently, deep learning methods have demonstrated strong performance and widespread application. However, change detection faces data ...

In this context, this article proposes a data-driven detection model tailored for identifying and localizing LAAs in SPDNs. In this pursuit, first, the graph structure of an SPDN, which is obtained ...

With these findings, we finally discuss a future direction for object detection, namely, spatial disequilibrium problem, aiming at pursuing a balanced detection ability over the entire image zone. By ...

ABSTRACT: Digital elevation models (DEMs) derived from light detection and ranging (LiDAR) technology are becoming the standard in representing terrain surfaces. They have numerous applications in ...