HyperLi-Net: A hyper-light deep learning network for high-accurate and high-speed ship detection from synthetic aperture radar imagery
Abstract Ship detection from Synthetic Aperture Radar (SAR) imagery is attracting increasing
attention due to its great value in ocean. However, existing most studies are frequently …
attention due to its great value in ocean. However, existing most studies are frequently …
Dualistic cascade convolutional neural network dedicated to fully PolSAR image ship detection
G Gao, Q Bai, C Zhang, L Zhang, L Yao - ISPRS Journal of …, 2023 - Elsevier
Influenced by the imaging mechanism, the occurrence of interference clutter in synthetic
aperture radar (SAR) renders the identification of false alarms using detectors challenging …
aperture radar (SAR) renders the identification of false alarms using detectors challenging …
[HTML][HTML] Research progress on aircraft detection and recognition in SAR imagery
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 …
Aperture Radar (SAR). As a typical target, aircraft detection and identification has certain …
A novel multidimensional domain deep learning network for SAR ship detection
Since only the spatial feature information of ship target is utilized, the current deep learning-
based synthetic aperture radar (SAR) ship detection approaches cannot achieve a …
based synthetic aperture radar (SAR) ship detection approaches cannot achieve a …
A two-stage method for ship detection using PolSAR image
Ship detection using polarimetric synthetic aperture radar (PolSAR) images has recently
been an active topic in the Earth observation field, in which how to detect small ships is an …
been an active topic in the Earth observation field, in which how to detect small ships is an …
A rotational libra R-CNN method for ship detection
Recently, ship detection methods based on deep learning have attracted significant
attention due to their superior accuracy over traditional methods. However, there still exist …
attention due to their superior accuracy over traditional methods. However, there still exist …
An automatic ship detection method adapting to different satellites SAR images with feature alignment and compensation loss
Traditional deep learning Synthetic Aperture Radar (SAR) image object detection methods
fail to provide effective detection results when faced with SAR image datasets with different …
fail to provide effective detection results when faced with SAR image datasets with different …
[HTML][HTML] 极化SAR 图像舰船目标检测研究综述
刘涛， 杨子渊， 蒋燕妮， 高贵 - 雷达学报, 2021 - radars.ac.cn
极化合成孔径雷达(PolSAR) 使用二维脉冲压缩技术获取高分辨力极化信息图像,
目前已广泛应用在军事侦察, 地形测绘, 环境与自然灾害监视, 海上舰船目标检测等领域 …
目前已广泛应用在军事侦察, 地形测绘, 环境与自然灾害监视, 海上舰船目标检测等领域 …
BSF: Block subspace filter for removing narrowband and wideband radio interference artifacts in single-look complex SAR images
Radio signals emitted by various sources, such as ground radars and broadcast/
communication devices, can unintentionally cause radio frequency interference (RFI) to …
communication devices, can unintentionally cause radio frequency interference (RFI) to …
A novel technique for ship wake detection from optical images
Y Liu, J Zhao, Y Qin - Remote Sensing of Environment, 2021 - Elsevier
Monitoring ships at sea is of great importance for both civilian and military purposes. Since
ship wakes are more distinct than hulls, wakes are widely employed for ship detection from …
ship wakes are more distinct than hulls, wakes are widely employed for ship detection from …