Remote sensing object detection (RSOD), one of the most fundamental and challenging
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …

The rapid development of remote sensing technologies and the availability of many satellite
and aerial sensors have boosted the collection of large volumes of high-resolution images …

In the remote sensing field, change detection (CD) aims to identify and localize the changed
regions from dual-phase images over the same places. Recently, it has achieved great …

Vehicle detection and tracking technology plays an important role in intelligent
transportation management and control systems. This paper proposes a novel vehicle …

Oriented object detection (OOD) can more accurately locate objects with an arbitrary
direction in remote sensing images (RSIs) compared to horizontal object detection. The most …

Water area segmentation is an important branch of remote sensing image segmentation, but
in reality, most water area images have complex and diverse backgrounds. Traditional …

In this paper, an object detection and recognition method based on improved YOLOv5 is
proposed for application on unmanned aerial vehicle (UAV) aerial images. Firstly, we …

Although current methods based on deep learning (DL) have been widely employed in
shadow detection tasks, the cluttered background and complex shadow features in remote …

Detection of objects is extremely important in various aerial vision-based applications. Over
the last few years, the methods based on convolution neural networks (CNNs) have made …

Ship detection is an important research topic in the field of remote sensing. Compared with
optical detection methods, Synthetic Aperture Radar (SAR) ship detection can penetrate …