The automatic detection of aircrafts from SAR images is widely applied in both military and
civil fields, but there are still considerable challenges. To address the high variety of aircraft …

Bridge detection in remote sensing images (RSIs) plays a crucial role in various
applications, but it poses unique challenges compared to the detection of other objects. In …

In aircraft detection from synthetic aperture radar (SAR) images, there are several major
challenges: the shattered features of the aircraft, the size heterogeneity and the interference …

Recently, deep learning has greatly promoted the development of detection methods for
ship targets in synthetic aperture radar (SAR) images. However, existing detection networks …

Automatic river bridge detection is a typical and valuable application for SAR image
analysis. However, the background information of SAR image is complex, and there are …

The different imaging conditions of high spatial resolution remote sensing images
(HSRRSIs) tend to cause large differences in the background information of bridges from the …

Deep learning (DL) has been proven to be a powerful method in computer vision and is
receiving increasing attention in remote sensing. It is important to analyse the research …

Due to the flexibility and ease of deployment of Field Programmable Gate Arrays (FPGA),
more and more studies have been conducted on developing and optimizing target detection …

Deep learning has achieved significant success in various synthetic aperture radar (SAR)
imagery interpretation tasks. However, automatic aircraft detection is still challenging due to …

Layover is a kind of geometric distortion in radar systems with side-look imaging, especially
in mountainous and dense urban areas. It causes phase distortion and alters target …