In this paper, a component-based multi-layer parallel network is proposed for airplane
detection in Synthetic Aperture Radar (SAR) imagery. In response to the problems called …

This paper proposes an innovative Adaptive Component Selection-Based Discriminative
Model (ACSDM) for object detection in high-resolution synthetic aperture radar (SAR) …

Recently, deep learning based methods have been successfully applied in synthetic
aperture radar automatic target recognition (SAR ATR) fields. However, due to the effects of …

Aircraft detection in synthetic aperture radar (SAR) images is a challenging task because of
the discreteness, variability, and interference of aircraft scattering features. This article …

Target detection and recognition are popular issues in the field of high-resolution Synthetic
Aperture Radar (SAR). As a typical target, aircraft detection and identification has certain …

This study proposes a Synthetic Aperture Radar (SAR) aircraft detection and recognition
method combined with scattering perception to address the problem of target discreteness …

Abstract Most high-resolution Synthetic Aperture Radar (SAR) images of real-life scenes are
complex due to clutter, such as grass, trees, roads, and buildings, in the background …

In the field of image processing using Synthetic Aperture Radar (SAR), aircraft detection is a
challenging task. Conventional approaches always extract targets from the background of …

Due to the unique imaging mechanism of synthetic aperture radar (SAR), targets in SAR
images often shows complex scattering characteristics, including unclear contours …

Feature-based target detection in synthetic aperture radar (SAR) images is required for
monitoring situations where it is difficult to obtain a large amount of data, such as in tactical …