Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

Recently, ship detection in synthetic aperture radar (SAR) images has received extensive
attention. Most of the current ship detectors preset dense anchor boxes to achieve spatial …

Vehicle tracking on satellite videos poses a challenge for the existing object tracking
algorithms due to the few features, object occlusion, and similar objects appearance. To …

A summary of the many techniques used for this comprehensive review study aims to
classify and detect synthetic aperture radar (SAR) images. SAR images have become more …

Accurate registration between synthetic aperture radar (SAR) images is the basis for high-
precision geometric correction of SAR images. The feature points extracted by conventional …

Uncrewed Aerial Vehicles (UAVs) are instrumental in advancing the field of remote sensing.
Nevertheless, the complexity of the background and the dense distribution of objects both …

Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate
different remote sensing objects. However, the HSI spatial resolution is relatively low due to …

Recently, the improvement of detection performance always relies on deeper convolutional
layers and complex convolutional structures in remote sensing images, which significantly …

In recent years, object detectors based on convolutional neural networks have been widely
used on remote sensing images. However, the improvement of their detection performance …

Since small‐target pedestrians account for a small proportion of pixels in images and lack
texture features, the feature information of small‐target pedestrians is often ignored in the …