Machine learning, particularly deep learning (DL), has become a central and state-of-the-art
method for several computer vision applications and remote sensing (RS) image …

Abstract Synthetic Aperture Radar (SAR), with its coherent imaging mechanism, has the
unique advantage of all-day and all-weather imaging. As a typical and important topic …

Abstract Nowadays, Unmanned Aerial Vehicles (UAVs) have become useful for various civil
applications, such as traffic monitoring and smart parkings, where real-time vehicle detection …

合成孔径雷达(SAR) 采用相干成像机制, 具有全天时, 全天候成像的独特优势.
飞机目标作为一种典型高价值目标, 其检测与识别已成为SAR 图像解译领域的研究热点. 近年来 …

Although deep learning techniques have achieved noticeable success in aircraft detection,
the scale heterogeneity, position difference, complex background interference, and speckle …

Ageing buildings have become a significant concern for many cities, exacerbated by
inadequate management and maintenance of Mechanical, Electrical, and Plumbing (MEP) …

With the adversarial attack of convolutional neural networks (CNNs), we are able to
generate adversarial patches to make an aircraft undetectable by object detectors instead of …

Multifeature synthetic aperture radar (SAR) ship classification aims to build models that can
process, correlate, and fuse information from both handcrafted and deep features. Although …

Since significant intraclass differences and inconspicuous interclass variations, fine-grained
aircraft detection in synthetic aperture radar (SAR) images is challenging. Also, the inherent …

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 …