A comprehensive review for typical applications based upon unmanned aerial vehicle platform

Y Han, H Liu, Y Wang, C Liu - IEEE Journal of Selected Topics …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields
due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has …

Transformer meets remote sensing video detection and tracking: A comprehensive survey

L Jiao, X Zhang, X Liu, F Liu, S Yang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Transformer has shown excellent performance in remote sensing field with long-range
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …

Multimodal attention-aware convolutional neural networks for classification of hyperspectral and LiDAR data

H Zhang, J Yao, L Ni, L Gao… - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
The attention mechanism is one of the most influential ideas in the deep learning
community, which has shown excellent efficiency in various computer vision tasks. Thus, this …

Shadow-background-noise 3D spatial decomposition using sparse low-rank Gaussian properties for video-SAR moving target shadow enhancement

X Xu, X Zhang, T Zhang, Z Yang, J Shi… - IEEE Geoscience and …, 2022 - ieeexplore.ieee.org
Moving target shadows among video synthetic aperture radar (Video-SAR) images are
always interfered with by low scattering backgrounds and cluttered noises, causing poor …

Joint tracking of moving target in single-channel video SAR

C Zhong, J Ding, Y Zhang - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
Video synthetic aperture radar (SAR) has been found very useful in ground moving target
indication (GMTI) and tracking. The dynamic shadows in video SAR imagery sequences …

Vehicle tracking on satellite video based on historical model

S Chen, T Wang, H Wang, Y Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Vehicle tracking on satellite videos poses a challenge for the existing object tracking
algorithms due to the few features, object occlusion, and similar objects appearance. To …

[HTML][HTML] Moving scene object tracking method based on deep convolutional neural network

L Liu, B Lin, Y Yang - Alexandria Engineering Journal, 2024 - Elsevier
The effect of target tracking is not ideal when facing various complex tracking scenarios such
as non-rigid deformation of target, frequent occlusion, clutter of target background and …

SAR Ground Moving Target Refocusing by Combining mRe³ Network and TVβ-LSTM

Y Zhou, J Shi, C Wang, Y Hu, Z Zhou… - … on Geoscience and …, 2020 - ieeexplore.ieee.org
This article proposes a novel framework by combining a modified real-time recurrent
regression (mRe 3) network and a newly designed trajectory smoothing long short-term …

Processing of airborne video SAR data using the modified back projection algorithm

Y Cheng, J Ding, Z Sun, C Zhong - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes an algorithm framework recently developed for video synthetic
aperture radar (ViSAR) and presents the processing results of the airborne data collected by …

ShadowDeNet: A moving target shadow detection network for video SAR

J Bao, X Zhang, T Zhang, X Xu - Remote Sensing, 2022 - mdpi.com
Most existing SAR moving target shadow detectors not only tend to generate missed
detections because of their limited feature extraction capacity among complex scenes, but …