[HTML][HTML] SAR 图像飞机目标智能检测识别技术研究进展与展望

罗汝, 赵凌君, 何奇山, 计科峰, 匡纲要 - 雷达学报, 2023 - radars.ac.cn
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 …

[HTML][HTML] Intelligent technology for aircraft detection and recognition through SAR imagery: Advancements and prospects

LUO Ru, Z Lingjun, HE Qishan, JI Kefeng, K Gangyao - 雷达学报, 2023 - radars.ac.cn
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 …

Geospatial transformer is what you need for aircraft detection in SAR Imagery

L Chen, R Luo, J Xing, Z Li, Z Yuan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Although deep learning techniques have achieved noticeable success in aircraft detection,
the scale heterogeneity, position difference, complex background interference, and speckle …

CCDS-YOLO: Multi-category synthetic aperture radar image object detection model based on YOLOv5s

M Huang, Z Liu, T Liu, J Wang - Electronics, 2023 - mdpi.com
Synthetic Aperture Radar (SAR) is an active microwave sensor that has attracted
widespread attention due to its ability to observe the ground around the clock. Research on …

A hierarchical feature fusion and attention network for automatic ship detection from SAR images

Q Mao, Y Li, Y Zhu - IEEE Journal of Selected Topics in Applied …, 2024 - ieeexplore.ieee.org
Automatic ship target detection technique is a typical and meaningful application for
synthetic aperture radar (SAR) image interpretation. Nevertheless, the detection of ship …

A lightweight object detection method in aerial images based on dense feature fusion path aggregation network

L Zhou, X Rao, Y Li, X Zuo, B Qiao, Y Lin - ISPRS International Journal of …, 2022 - mdpi.com
In recent years, significant progress has been obtained in object detection using
Convolutional Neural Networks (CNNs). However, owing to the particularity of Remote …

[HTML][HTML] Lightweight Ship Detection Network for SAR Range-Compressed Domain

X Tan, X Leng, Z Sun, R Luo, K Ji, G Kuang - Remote Sensing, 2024 - mdpi.com
The utilization of Synthetic Aperture Radar (SAR) for real-time ship detection proves highly
advantageous in the supervision and monitoring of maritime activities. Ship detection in the …

A lightweight network based on one-level feature for ship detection in SAR images

W Yu, Z Wang, J Li, Y Luo, Z Yu - Remote Sensing, 2022 - mdpi.com
Recently, deep learning has greatly promoted the development of detection methods for
ship targets in synthetic aperture radar (SAR) images. However, existing detection networks …

Glassboxing deep learning to enhance aircraft detection from SAR imagery

R Luo, J Xing, L Chen, Z Pan, X Cai, Z Li, J Wang… - Remote Sensing, 2021 - mdpi.com
Although deep learning has achieved great success in aircraft detection from SAR imagery,
its blackbox behavior has been criticized for low comprehensibility and interpretability. Such …

Azimuth-sensitive object detection of high-resolution SAR images in complex scenes by using a spatial orientation attention enhancement network

J Ge, C Wang, B Zhang, C Xu, X Wen - Remote Sensing, 2022 - mdpi.com
The scattering features of objects in synthetic aperture radar (SAR) imagery are highly
sensitive to different azimuth angles, and detecting azimuth-sensitive objects in complex …