Log in

Relevant bibliographies by topics / Multiple ground targets / Journal articles

To see the other types of publications on this topic, follow the link: Multiple ground targets.

Journal articles on the topic 'Multiple ground targets'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Multiple ground targets.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Carbone, Andrea, Dario Spiller , and Fabio Curti . "Analytical Attitude Guidance Planner for Multiple Ground Targets Acquisitions." Symmetry 14, no. 11 (2022): 2341. http://dx.doi.org/10.3390/sym14112341.

Full text

Abstract:

This paper focuses on the development of a guidance methodology for the planning of multiple ground target acquisition. Specifically, the work addresses the problem of the lack of an attitude guidance planner (AGP) aboard a remote sensing satellite. In general, the guidance is computed offline and uploaded by ground control to the space segment, i.e., satellites are not responsible for the guidance generation but they only perform control algorithms to track the guidance profiles provided by the ground segment. Overall, this limits the mission flexibility and efficiency, affecting the capabili

APA, Harvard, Vancouver, ISO, and other styles

2

Visina, Radu, Yaakov Bar-Shalom, and Peter Willett. "Multiple-Model Estimators for Tracking Sharply Maneuvering Ground Targets." IEEE Transactions on Aerospace and Electronic Systems 54, no. 3 (2018): 1404–14. http://dx.doi.org/10.1109/taes.2018.2793019.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Brooks, Richard, David Friedlander, John Koch, and Shashi Phoha. "Tracking multiple targets with self-organizing distributed ground sensors." Journal of Parallel and Distributed Computing 64, no. 7 (2004): 874–84. http://dx.doi.org/10.1016/j.jpdc.2003.12.005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Yang, Xiaqing, Jun Shi, Yuanyuan Zhou, et al. "Ground Moving Target Tracking and Refocusing Using Shadow in Video-SAR." Remote Sensing 12, no. 18 (2020): 3083. http://dx.doi.org/10.3390/rs12183083.

Full text

Abstract:

Stable and efficient ground moving target tracking and refocusing is a hard task in synthetic aperture radar (SAR) data processing. Since shadows in video-SAR indicate the actual positions of moving targets at different moments without any displacement, shadow-based methods provide a new approach for ground moving target processing. This paper constructs a novel framework to refocus ground moving targets by using shadows in video-SAR. To this end, an automatic-registered SAR video is first obtained using the video-SAR back-projection (v-BP) algorithm. The shadows of multiple moving targets are

APA, Harvard, Vancouver, ISO, and other styles

5

Huang, Hailong, Andrey V. Savkin, and Xiaohui Li. "Reactive Autonomous Navigation of UAVs for Dynamic Sensing Coverage of Mobile Ground Targets." Sensors 20, no. 13 (2020): 3720. http://dx.doi.org/10.3390/s20133720.

Full text

Abstract:

This paper addresses a problem of autonomous navigation of unmanned aerial vehicles (UAVs) for the surveillance of multiple moving ground targets. The ground can be flat or uneven. A reactive real-time sliding mode control algorithm is proposed that navigates a team of communicating UAVs, equipped with ground-facing video cameras, towards moving targets to increase some measure of sensing coverage of the targets by the UAVs. Moreover, the Voronoi partitioning technique is adopted to reduce the movement range of the UAVs and decrease the revisit times of the targets. Extensive computer simulati

APA, Harvard, Vancouver, ISO, and other styles

6

Song, Chao, Caizhi Fan, and Mengmeng Wang. "Image-Based Adaptive Staring Attitude Control for Multiple Ground Targets Using a Miniaturized Video Satellite." Remote Sensing 14, no. 16 (2022): 3974. http://dx.doi.org/10.3390/rs14163974.

Full text

Abstract:

A miniaturized video satellite can observe the ground targets by recording real-time video clips in staring control mode and therefore obtains a unique advantage over traditional remote sensing techniques. To further extend the application of a video satellite, a strategy for simultaneously observing a group of ground targets is to be developed. To cope with the impacts of an uncalibrated camera on the pointing accuracy which can lead to the failure of a multi-target observation task, an adaptive attitude control method is to be exploited. Hence, to observe multiple ground targets using an onb

APA, Harvard, Vancouver, ISO, and other styles

7

Shaorong Xie, Zhouhao Ye, Jun Luo, and Hengyu Li. "Cooperative Searching for Ground Targets with Multiple UAVs in Unknown Region." Journal of Convergence Information Technology 7, no. 23 (2012): 384–92. http://dx.doi.org/10.4156/jcit.vol7.issue23.45.

Full text

APA, Harvard, Vancouver, ISO, and other styles

8

Yang, Fawei, Jinpeng Guo, Rui Zhu, Julien Le Kernec, Quanhua Liu, and Tao Zeng. "Ground Clutter Mitigation for Slow-Time MIMO Radar Using Independent Component Analysis." Remote Sensing 14, no. 23 (2022): 6098. http://dx.doi.org/10.3390/rs14236098.

Full text

Abstract:

The detection of low, slow and small (LSS) targets, such as small drones, is a developing area of research in radar, wherein the presence of ground clutter can be quite challenging. LSS targets, because of their unusual flying mode, can be easily shadowed by ground clutter, leading to poor radar detection performance. In this study, we investigated the feasibility and performance of a ground clutter mitigation method combining slow-time multiple-input multiple-output (st-MIMO) waveforms and independent component analysis (ICA) in a ground-based MIMO radar focusing on LSS target detection. The

APA, Harvard, Vancouver, ISO, and other styles

9

Liu, Kun, Xiongpeng He, Guisheng Liao, Shengqi Zhu, and Cao Zeng. "Estimating Motion Parameters of Ground Moving Targets from Dual-Channel SAR Systems." Remote Sensing 17, no. 3 (2025): 555. https://doi.org/10.3390/rs17030555.

Full text

Abstract:

In dual-channel synthetic aperture radar (SAR) systems, the estimation of the four-dimensional motion parameters of the ground maneuvering target is a critical challenge. In particular, when spatial degrees of freedom are used to enhance the target’s output signal-to-clutter-plus-noise ratio (SCNR), it is possible to have multiple solutions in the parameter estimation of the target. To deal with this issue, a novel algorithm for estimating the motion parameters of ground moving targets in dual-channel SAR systems is proposed in this paper. First, the random sample consensus (RANSAC) and modifi

APA, Harvard, Vancouver, ISO, and other styles

10

Feng, Ya-Chien, and Frédéric Fabry. "Quantifying the Error of Radar-Estimated Refractivity by Multiple Elevation and Dual-Polarimetric Data." Journal of Atmospheric and Oceanic Technology 35, no. 10 (2018): 1897–911. http://dx.doi.org/10.1175/jtech-d-18-0008.1.

Full text

Abstract:

AbstractTo properly use radar refractivity data quantitatively, good knowledge of its errors is required. The data quality of refractivity critically depends on the phase measurements of ground targets that are used for the refractivity estimation. In this study, the observational error structure of refractivity is first estimated based on quantifying the uncertainties of phase measurements, data processing, and the refractivity estimation method. New correlations between the time series of phase measurements at different elevation angles and between polarizations are developed to assess the b

APA, Harvard, Vancouver, ISO, and other styles

11

Miller, Nathaniel, and Jonathan Rogers. "Simultaneous Tracking of Multiple Ground Targets from a Multirotor Unmanned Aerial Vehicle." Journal of Aerospace Information Systems 12, no. 3 (2015): 345–64. http://dx.doi.org/10.2514/1.i010345.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Park, JI-Hoon, Yeo-Reum Choi, Dae-Young Chae, Ho Lim, and Ji Hee Yoo. "A Dataset of Ground Vehicle Targets from Satellite SAR Images and Its Application to Detection and Instance Segmentation." Journal of the Korea Institute of Military Science and Technology 25, no. 1 (2022): 30–44. http://dx.doi.org/10.9766/kimst.2022.25.1.030.

Full text

Abstract:

The advent of deep learning-based algorithms has facilitated researches on target detection from synthetic aperture radar(SAR) imagery. While most of them concentrate on detection tasks for ships with open SAR ship datasets and for aircraft from SAR scenes of airports, there is relatively scarce researches on the detection of SAR ground vehicle targets where several adverse factors such as high false alarm rates, low signal-to-clutter ratios, and multiple targets in close proximity are predicted to degrade the performances. In this paper, a dataset of ground vehicle targets acquired from Terra

APA, Harvard, Vancouver, ISO, and other styles

13

Fu, Xin. "Modeling Based on Combinatorial Optimization Multi-Target Data Association and Bonic Algorithm." Applied Mechanics and Materials 624 (August 2014): 505–8. http://dx.doi.org/10.4028/www.scientific.net/amm.624.505.

Full text

Abstract:

Group operations is a emerging key problem for flight simulator training course. No matter the radar array in the ground or flight formation in the air, all need to track multiple targets at the same time. That means analyzing the correlation between detecting targets of sensors and known multiple aircraft is essential. So Multiple target data association is the research focus in this paper. Aimed at the research focus, this paper does research for modeling based on combinatorial optimization multi-target data association and bionic algorithm.

APA, Harvard, Vancouver, ISO, and other styles

14

Lian, Fei Yu, and Qing Li. "A New Underground Target Identification Method Based on Ground Penetrating Radar Map." Applied Mechanics and Materials 58-60 (June 2011): 1926–31. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.1926.

Full text

Abstract:

In this paper, we proposed a punctuated target identification method for underground homogeneous medium based on dielectric constant inversion algorithm. Its main idea is that, initially, Hough transform is used to locate the target characterized by hyperbola in a radar profile map, then a layer-by-layer waveform inversion algorithm is used to invert the dielectric constant on the location where the target lies. To guarantee the correctness of inversion, the transmission beam method is adopted to obtain initial parameters and calibration factors required by inversion. Through numerical analysi

APA, Harvard, Vancouver, ISO, and other styles

15

Wang Hongqiao, 汪洪桥, 蔡艳宁 Cai Yanning, 付光远 Fu Guangyuan, 伍明 Wu Ming, and 王仕成 Wang Shicheng. "Recognition and Tracking of Multiple Slowly-Moving Ground Targets Based on Image Series." Laser & Optoelectronics Progress 53, no. 5 (2016): 051501. http://dx.doi.org/10.3788/lop53.051501.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Zhu, Xuliang, Xin Huang, Byron Choi, Jiaxin Jiang, Zhaonian Zou, and Jianliang Xu. "Budget constrained interactive search for multiple targets." Proceedings of the VLDB Endowment 14, no. 6 (2021): 890–902. http://dx.doi.org/10.14778/3447689.3447694.

Full text

Abstract:

Interactive graph search leverages human intelligence to categorize target labels in a hierarchy, which is useful for image classification, product categorization, and database search. However, many existing interactive graph search studies aim at identifying a single target optimally, and suffer from the limitations of asking too many questions and not being able to handle multiple targets. To address these two limitations, in this paper, we study a new problem of <u>b</u>udget constrained <u>i</u>nteractive <u>g</u>raph <u>s</u>earch for <u&

APA, Harvard, Vancouver, ISO, and other styles

17

Liu, Ran, Xiangqian Li, Jinping Sun, and Tao Shan. "Multi-Information-Assisted Joint Detection and Tracking of Ground Moving Target for Airborne Radar." Remote Sensing 17, no. 12 (2025): 2093. https://doi.org/10.3390/rs17122093.

Full text

Abstract:

Airborne radar-based ground moving target tracking faces challenges such as low detection rates and high clutter density. While lowering the detection threshold can improve detection performance, it introduces significant false alarms, thereby degrading tracking performance. To address these challenges, this paper proposes a novel multi-information assisted Joint Detection and Tracking (JDT) framework for ground moving targets. This study enhances detection and tracking performance by integrating multi-source information, specifically echo information, road network data, and velocity limits, e

APA, Harvard, Vancouver, ISO, and other styles

18

Hirsch, Michael J., Héctor J. Ortiz-Peña, and Chris Eck. "Cooperative Tracking of Multiple Targets by a Team of Autonomous UAVs." International Journal of Operations Research and Information Systems 3, no. 1 (2012): 53–73. http://dx.doi.org/10.4018/joris.2012010104.

Full text

Abstract:

This research is concerned with dynamically determining appropriate flight patterns for a set of autonomous UAVs in an urban environment, for persistent and accurate tracking of moving ground targets. The authors assume that there are limited communication capabilities between the UAVs, and that there exist possible line of sight constraints between the UAVs and the targets. Each UAV (i) operates its own dynamic feedback loop, in a receding horizon framework, incorporating local information on the targets (from UAV i perspective) as well as remote information on the targets (from the perspecti

APA, Harvard, Vancouver, ISO, and other styles

19

Wang, Mingxiang, Xiaoguang Wang, and Yuanxun Zheng. "Research on the Cooperative Attack of Multiple Guided Bombs." Journal of Physics: Conference Series 2478, no. 10 (2023): 102024. http://dx.doi.org/10.1088/1742-6596/2478/10/102024.

Full text

Abstract:

Abstract In order to enhance the coordinated strike capability of multiple guided bombs attacking ground targets, this paper studies the time-consistent strike problem of multiple guided bombs on the ground targets. First, for the nonlinear motion model of the bomb and the target, under the assumption that the speed of the bomb is constant and the target is stationary, the problem of simultaneous strikes of multiple guided bombs on the ground target is transformed into the remaining flight time and the velocity deflection angle of the bomb under the second-order integrator model, and a coopera

APA, Harvard, Vancouver, ISO, and other styles

20

Gomez-del-Hoyo, Pedro, Nerea del-Rey-Maestre, María-Pilar Jarabo-Amores, David Mata-Moya, and María-de-Cortés Benito-Ortiz. "Improved 2D Ground Target Tracking in GPS-Based Passive Radar Scenarios." Sensors 22, no. 5 (2022): 1724. http://dx.doi.org/10.3390/s22051724.

Full text

Abstract:

Global Positioning System (GPS) satellites offer promising opportunity for Passive Radar systems due to their global coverage and the availability of multiple satellites throughout the world. However, their low power at ground level limits system coverage. In this paper, a GPS based Passive Radar which exploits a single illumination source, and uses digital array processing for ground targets localization is presented. To face signal power problems, a processing scheme combining reconstructed reference signals, adaptive filtering techniques and spatial filtering is implemented. Conventional be

APA, Harvard, Vancouver, ISO, and other styles

21

Zhou, Xuyang, Ruofei He, Wei Jia, Hongjuan Liu, Yuanchao Ma, and Wei Sun. "Remote Target High-Precision Global Geolocalization of UAV Based on Multimodal Visual Servo." Remote Sensing 17, no. 14 (2025): 2426. https://doi.org/10.3390/rs17142426.

Full text

Abstract:

In this work, we propose a geolocation framework for distant ground targets integrating laser rangefinder sensors with multimodal visual servo control. By simulating binocular visual servo measurements through monocular visual servo tracking at fixed time intervals, our approach requires only single-session sensor attitude correction calibration to accurately geolocalize multiple targets during a single flight, which significantly enhances operational efficiency in multi-target geolocation scenarios. We design a step-convergent target geolocation optimization algorithm. By adjusting the step s

APA, Harvard, Vancouver, ISO, and other styles

22

Liu, Xinan, Panlong Wu, Yuming Bo, Chunhao Liu, Haitao Hu, and Shan He. "Improved Maneuver Detection-Based Multiple Hypothesis Bearing-Only Target Tracking Algorithm." Electronics 14, no. 7 (2025): 1439. https://doi.org/10.3390/electronics14071439.

Full text

Abstract:

In ground-based bearing-only tracking of multiple maneuvering targets, there are difficulties in data association due to the reliance solely on azimuth information, making it challenging to distinguish and identify multiple targets. This problem is particularly pronounced when targets are close or overlapping, leading to disassociation or target loss. Moreover, bearing-only information struggles to accurately capture the dynamic changes in maneuvering targets, significantly affecting tracking accuracy. To address these issues, this paper proposes an Improved Maneuver Detection-Based Multiple H

APA, Harvard, Vancouver, ISO, and other styles

23

Wan, Jun, Xiaoheng Tan, Zhanye Chen, et al. "Refocusing of Ground Moving Targets with Doppler Ambiguity Using Keystone Transform and Modified Second-Order Keystone Transform for Synthetic Aperture Radar." Remote Sensing 13, no. 2 (2021): 177. http://dx.doi.org/10.3390/rs13020177.

Full text

Abstract:

Ground moving targets will typically be defocused because of the range migration (RM) and Doppler frequency migration (DFM) caused by the unknown relative motions between the platform of synthetic aperture radar (SAR) and the ground moving targets. The received signal of the ground moving target easily exhibits the Doppler ambiguity, and the Doppler ambiguity leads to the refocusing difficulty of ground moving targets. To address these problems, a SAR refocusing method of ground moving targets with Doppler ambiguity based on modified second-order keystone transform (MSOKT) and keystone transfo

APA, Harvard, Vancouver, ISO, and other styles

24

Yeom, Seokwon. "Long Distance Ground Target Tracking with Aerial Image-to-Position Conversion and Improved Track Association." Drones 6, no. 3 (2022): 55. http://dx.doi.org/10.3390/drones6030055.

Full text

Abstract:

A small drone is capable of capturing distant objects at a low cost. In this paper, long distance (up to 1 km) ground target tracking with a small drone is addressed for oblique aerial images, and two novel approaches are developed. First, the coordinates of the image are converted to real-world based on the angular field of view, tilt angle, and altitude of the camera. Through the image-to-position conversion, the threshold of the actual object size and the center position of the detected object in real-world coordinates are obtained. Second, the track-to-track association is improved by adop

APA, Harvard, Vancouver, ISO, and other styles

25

Huang, Jinbo, Zhen Zheng, Yifei Zhang, and Yu Zhou. "Segmentation Clustering Algorithm for Point Cloud Processing of Targets on The Ground." Journal of Physics: Conference Series 2478, no. 6 (2023): 062023. http://dx.doi.org/10.1088/1742-6596/2478/6/062023.

Full text

Abstract:

Abstract After the ground extraction algorithm, there are multiple objects, including the target in the non-ground point cloud. To effectively extract the features of individual objects and overcome the dependence of the traditional algorithm based on the normal vector and curvature of the region growing point cloud segmentation method on the initial point, the normal vector angle in the neighborhood, and the curvature threshold selection. In this paper, we propose a fast clustering segmentation method for region-growing point clouds based on neighborhood density. The test results show that th

APA, Harvard, Vancouver, ISO, and other styles

26

Sun, Xiping, Xipeng Wu, Qinquan Zhou, Lei Zhang, and Jianxin Wu. "Airborne Radar Staggered PRF Coherent Processing Method for Down-Looking Target Detection." Remote Sensing 15, no. 13 (2023): 3271. http://dx.doi.org/10.3390/rs15133271.

Full text

Abstract:

Airborne radar plays a crucial role in detecting aerial targets, but its detection capability can be significantly affected by strong ground clutter when operating in down-looking mode. The range-Doppler (RD) results of ground clutter in airborne radar may overlap the range-Doppler results of the targets, causing target occlusion and rendering them undetectable. In addition to target detection, accurate extraction of target parameters is also of great importance. Due to the high-speed movement of the airborne platform, targets may exhibit range-Doppler ambiguity, necessitating the use of appro

APA, Harvard, Vancouver, ISO, and other styles

27

Liu, Hui, He Yan, Jialin Hao, Wenshuo Xu, Zhou Min, and Daiyin Zhu. "Application of Digital Twin Technology in Synthetic Aperture Radar Ground Moving Target Intelligent Detection System." Remote Sensing 16, no. 15 (2024): 2863. http://dx.doi.org/10.3390/rs16152863.

Full text

Abstract:

In recent years, the detection performance of SAR-GMTI (synthetic aperture radar-ground moving target indication) algorithm based on deep learning has always been limited by insufficient measured data due to the heavy operation complexity and high cost of real SAR systems. To solve this problem, this paper proposes an overall DT-based implementation framework for SAR ground moving target intelligent detection tasks. In particular, by virtue of a SAR imaging algorithm, a high-fidelity twin replica of SAR moving targets is established in digital space through parameter traversal based on the pri

APA, Harvard, Vancouver, ISO, and other styles

28

Shi, Xinghua, Shaolong Li, YueMeng Yin, and Zhao zhang. "A Ground Penetrating Radar Array Antenna Designed for Small Targets Detection." Journal of Physics: Conference Series 2887, no. 1 (2024): 012044. http://dx.doi.org/10.1088/1742-6596/2887/1/012044.

Full text

Abstract:

Abstract The detection of small targets, especially those made of non-metallic materials, presents significant challenges due to their small size and the difficulty of being detected by traditional metal detectors. Additionally, environmental factors and soil conditions further complicate their detection. Traditional Ground Penetrating Radar (GPR) operate with a single-line detection method, resulting in a low number of scan lines and inefficient detection. This approach makes it difficult to generate slice images and can lead to high missed detection. A miniaturized GPR array antenna suitable

APA, Harvard, Vancouver, ISO, and other styles

29

Li, Yongkang, Tianyu Huo, and Cuiqian Cao. "An Efficient Imaging Method for Medium-Earth-Orbit Multichannel SAR-GMTI Systems." Remote Sensing 14, no. 21 (2022): 5453. http://dx.doi.org/10.3390/rs14215453.

Full text

Abstract:

Medium-Earth-orbit (MEO) synthetic aperture radar (SAR) has the advantages of short revisit time and wide coverage, and thus is a potential tool for implementing ground moving target indication (GMTI) tasks. In the paper, aiming at MEO SAR’s problems of low signal-to-noise ratio and limited computation resource, an efficient imaging method is proposed for MEO multichannel SAR-GMTI systems with relatively low resolution. The proposed imaging method is designed with the consideration of both static scenes and ground moving targets, and it can simultaneously correct the range cell migrations of s

APA, Harvard, Vancouver, ISO, and other styles

30

Pan, Tingwei, Baosong Deng, Hongbin Dong, Jianjun Gui, and Bingxu Zhao. "Vision-Based Moving-Target Geolocation Using Dual Unmanned Aerial Vehicles." Remote Sensing 15, no. 2 (2023): 389. http://dx.doi.org/10.3390/rs15020389.

Full text

Abstract:

This paper develops a framework for geolocating ground-based moving targets with images taken from dual unmanned aerial vehicles (UAVs). Unlike the usual moving-target geolocation methods that rely heavily on accurate navigation state sensors or assumptions of the known target’s altitude, the proposed framework does not have the same limitations and performs geolocation of moving targets utilizing dual UAVs equipped with the low-quality navigation state sensors. Considering the Gaussian measurement errors and yaw-angle measurement bias provided by low-quality sensors, we first propose an epipo

APA, Harvard, Vancouver, ISO, and other styles

31

Li, Hongxu, Qinglang Guo, Zihan Xu, Xinfei Jin, Fulin Su, and Xiaodi Li. "A Multiple Targets ISAR Imaging Method with Removal of Micro-Motion Connection Based on Joint Constraints." Remote Sensing 16, no. 19 (2024): 3647. http://dx.doi.org/10.3390/rs16193647.

Full text

Abstract:

Combining multiple data sources, Digital Earth is an integrated observation platform based on air–space–ground–sea monitoring systems. Among these data sources, the Inverse Synthetic Aperture Radar (ISAR) is a crucial observation method. ISAR is typically utilized to monitor both military and civilian ships due to its all-day and all-weather superiority. However, in complex scenarios, multiple targets may exist within the same radar antenna beam, resulting in severe defocusing due to different motion conditions. Therefore, this paper proposes a multiple-target ISAR imaging method with the remo

APA, Harvard, Vancouver, ISO, and other styles

32

Li, Xudong, Lizhen Wu, Yifeng Niu, and Aitong Ma. "Multi-Target Association for UAVs Based on Triangular Topological Sequence." Drones 6, no. 5 (2022): 119. http://dx.doi.org/10.3390/drones6050119.

Full text

Abstract:

Multi-UAV cooperative systems are highly regarded in the field of cooperative multi-target localization and tracking due to their advantages of wide coverage and multi-dimensional perception. However, due to the similarity of target visual characteristics and the limitation of UAV sensor resolution, it is difficult for UAVs to correctly distinguish targets that are visually similar to their associations. Incorrect correlation matching between targets will result in incorrect localization and tracking of multiple targets by multiple UAVs. In order to solve the association problem of targets wit

APA, Harvard, Vancouver, ISO, and other styles

33

Hinas, Ajmal, Roshan Ragel, Jonathan Roberts, and Felipe Gonzalez. "A Framework for Multiple Ground Target Finding and Inspection Using a Multirotor UAS." Sensors 20, no. 1 (2020): 272. http://dx.doi.org/10.3390/s20010272.

Full text

Abstract:

Small unmanned aerial systems (UASs) now have advanced waypoint-based navigation capabilities, which enable them to collect surveillance, wildlife ecology and air quality data in new ways. The ability to remotely sense and find a set of targets and descend and hover close to each target for an action is desirable in many applications, including inspection, search and rescue and spot spraying in agriculture. This paper proposes a robust framework for vision-based ground target finding and action using the high-level decision-making approach of Observe, Orient, Decide and Act (OODA). The propose

APA, Harvard, Vancouver, ISO, and other styles

34

Wang, Wenlong, Qingwu Hu, Ju Zhang, Pengcheng Zhao, and Mingyao Ai. "Underground Target Extraction by Local Entropy Feature of Voxelized 3D Ground Penetrating Radar." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1-2024 (May 10, 2024): 671–78. http://dx.doi.org/10.5194/isprs-archives-xlviii-1-2024-671-2024.

Full text

Abstract:

Abstract. To solve the current problem of insufficient exploration of three-dimensional spatial information detected by 3D ground penetrating radar (3D GPR) and the data processing mainly based on the analysis and interpretation of two-dimensional slice images, a method is proposed to extract underground target based on the local entropy feature of discrete point clouds after the voxelization of 3D GPR data. First, the acquired 3D GPR data was voxelized into discrete three-dimensional point clouds. Then the local entropy feature of the voxelized point clouds over the entire region were calcula

APA, Harvard, Vancouver, ISO, and other styles

35

Qian, J., X. Lv, M. Xing, L. Li, and Z. Bao. "Motion parameter estimation of multiple ground fast-moving targets with a three-channel synthetic aperture radar." IET Radar, Sonar & Navigation 5, no. 5 (2011): 582. http://dx.doi.org/10.1049/iet-rsn.2010.0111.

Full text

APA, Harvard, Vancouver, ISO, and other styles

36

Zhang, Xing, Jie Chen, Bin Xin, and Zhihong Peng. "A memetic algorithm for path planning of curvature-constrained UAVs performing surveillance of multiple ground targets." Chinese Journal of Aeronautics 27, no. 3 (2014): 622–33. http://dx.doi.org/10.1016/j.cja.2014.04.024.

Full text

APA, Harvard, Vancouver, ISO, and other styles

37

Zabkiewicz, J. A., K. D. Steele, and J. P. Praat. "Determination of spray drift using multiple metal cations as tracers." New Zealand Plant Protection 61 (August 1, 2008): 159–63. http://dx.doi.org/10.30843/nzpp.2008.61.6800.

Full text

Abstract:

An alternative method to the use of dyes in spray drift estimation has been developed using different metal cations with each spray solution This removes the need to collect the targets until all the spray events have been completed Spray drift trials were conducted with a tractor plus boom over a grass sward with plastic tape as the collector to capture ground spray deposits The extracted deposits from the collectors were quantified by ICPMS The advantages of using cations are that they are stable very low levels of detection are possible analytical and operational costs are reduced and they

APA, Harvard, Vancouver, ISO, and other styles

38

Ju, Chaowen, Yixuan Liu, Jianle Liu, Tianxiang Nan, Xinger Cheng, and Zhuo Zhang. "Three-Dimensional Localization Method of Underground Target Based on Miniaturized Single-Frequency Acoustically Actuated Antenna Array." Electronics 14, no. 9 (2025): 1859. https://doi.org/10.3390/electronics14091859.

Full text

Abstract:

The acoustically actuated antenna technology enables a significant reduction in antenna dimension, facilitating miniaturization of ground-penetrating radar systems in the very high-frequency (VHF) band. However, the current acoustically actuated antennas suffer from narrow bandwidth and low range resolution. To address this issue, this paper proposed a three-dimensional (3D) localization method for underground targets, which combined two-dimensional (2D) array direction-of-arrival (DOA) estimation with continuous spatial sampling without relying on range resolution. By leveraging the small dim

APA, Harvard, Vancouver, ISO, and other styles

39

Han, Ruize, Wei Feng, Jiewen Zhao, et al. "Complementary-View Multiple Human Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 10917–24. http://dx.doi.org/10.1609/aaai.v34i07.6724.

Full text

Abstract:

The global trajectories of targets on ground can be well captured from a top view in a high altitude, e.g., by a drone-mounted camera, while their local detailed appearances can be better recorded from horizontal views, e.g., by a helmet camera worn by a person. This paper studies a new problem of multiple human tracking from a pair of top- and horizontal-view videos taken at the same time. Our goal is to track the humans in both views and identify the same person across the two complementary views frame by frame, which is very challenging due to very large field of view difference. In this pa

APA, Harvard, Vancouver, ISO, and other styles

40

Kim, Song-Kyoo (Amang). "Robust Pairwise n-Person Stochastic Duel Game." Mathematics 9, no. 8 (2021): 825. http://dx.doi.org/10.3390/math9080825.

Full text

Abstract:

This paper introduces an extended version of a stochastic game under the antagonistic duel-type setup. The most flexible multiple person duel game is analytically solved. Moreover, the explicit formulas are solved to determine the time-dependent duel game model using the first exceed theory in multiple game stages. Unlike conventional stochastic duel games, multiple battlefields are firstly introduced and each battlefield becomes a shooting ground of pairwise players in a multiperson game. Each player selects different targets in different game stages. An analogue of this new theory was design

APA, Harvard, Vancouver, ISO, and other styles

41

Kang, Jongsung, Joonhyeon Jun, Jaehyun Park, Hyungju Kim, and Byung Jang Jeong. "Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems." Journal of Electromagnetic Engineering and Science 25, no. 3 (2025): 205–13. https://doi.org/10.26866/jees.2025.3.r.291.

Full text

Abstract:

In this paper, a partially binarized deep learning-based MUltiple SIgnal Classification (MUSIC) algorithm for estimating the angle-of-arrivals (AoAs) of multiple targets using wireless sensor array systems is proposed. Since the sensor array system has limited computing power, it is not desirable to put the entire neural network on a single sensor node. Accordingly, the neural network was partitioned into two parts: the sensor node and the ground server. The neural network output (that is, the partially processed data) at the node was forwarded to the server through a noisy backhaul link chann

APA, Harvard, Vancouver, ISO, and other styles

42

Liu, Jing, Xiaoqing Tian, Jiayuan Jiang, and Kaiyu Huang. "Distributed Compressed Sensing Based Ground Moving Target Indication for Dual-Channel SAR System." Sensors 18, no. 7 (2018): 2377. http://dx.doi.org/10.3390/s18072377.

Full text

Abstract:

The dual-channel synthetic aperture radar (SAR) system is widely applied in the field of ground moving-target indication (GMTI). With the increase of the imaging resolution, the resulting substantial raw data samples increase the transmission and storage burden. We tackle the problem by adopting the joint sparsity model 1 (JSM-1) in distributed compressed sensing (DCS) to exploit the correlation between the two channels of the dual-channel SAR system. We propose a novel algorithm, namely the hierarchical variational Bayesian based distributed compressed sensing (HVB-DCS) algorithm for the JSM-

APA, Harvard, Vancouver, ISO, and other styles

43

Li, Feng, Qiuhua Wan, Feifei Wen, et al. "Multi-Satellite Imaging Task Planning for Large Regional Coverage: A Heuristic Algorithm Based on Triple Grids Method." Remote Sensing 16, no. 1 (2024): 194. http://dx.doi.org/10.3390/rs16010194.

Full text

Abstract:

Over the past few decades, there has been a significant increase in the number of Earth observation satellites, and the area of ground targets requiring observation has also been expanding. To effectively utilize the capabilities of these satellites and capture larger areas of ground targets, it has become essential to plan imaging tasks for large regional coverage using multiple satellites. First, we establish a 0-1 integer programming model to accurately describe the problem and analyze the challenges associated with solving the model. Second, we propose a heuristic algorithm based on the tr

APA, Harvard, Vancouver, ISO, and other styles

44

Bhatia, Jyoti, Aveen Dayal, Ajit Jha, et al. "Classification of Targets Using Statistical Features from Range FFT of mmWave FMCW Radars." Electronics 10, no. 16 (2021): 1965. http://dx.doi.org/10.3390/electronics10161965.

Full text

Abstract:

Radars with mmWave frequency modulated continuous wave (FMCW) technology accurately estimate the range and velocity of targets in their field of view (FoV). The targeted angle of arrival (AoA) estimation can be improved by increasing receiving antennas or by using multiple-input multiple-output (MIMO). However, obtaining target features such as target type remains challenging. In this paper, we present a novel target classification method based on machine learning and features extracted from a range fast Fourier transform (FFT) profile by using mmWave FMCW radars operating in the frequency ran

APA, Harvard, Vancouver, ISO, and other styles

45

Castro, Kimberly Coutinho Paes Leme, and Luciano Soares Cunha. "FORENSIC INVESTIGATIONS WITH THE IDENTIFICATION OF HUMAN REMAINS WITH GROUND PENETRATING RADAR (GPR): A REVIEW." Estudos Geológicos 31, no. 2 (2021): 64–86. http://dx.doi.org/10.51359/1980-8208/estudosgeologicos.v31n2p64-86.

Full text

Abstract:

Forensic geophysics research using ground-penetrating radar (GPR) has the potential to non-destructively detect buried or hidden targets. A systematic literature review is a bibliographic technique that aims to answer a question objectively and impartially by evaluating a body of data from articles and other scientific documents. The question posed here was how GPR can assist in identifying bodies in different burial scenarios and where research on this topic is headed. The extracted articles were divided into two groups: controlled sites and uncontrolled sites. From the analysis of the result

APA, Harvard, Vancouver, ISO, and other styles

46

Ji, Penghui, Shiqi Xing, Dahai Dai, and Bo Pang. "Deceptive Targets Generation Simulation Against Multichannel SAR." Electronics 9, no. 4 (2020): 597. http://dx.doi.org/10.3390/electronics9040597.

Full text

Abstract:

Traditional synthetic aperture radar (SAR) deceptive jamming can effectively generate deceptive scenes or false targets in SAR images. However, these false targets or scenes can be easily distinguished or eliminated by the multichannel SAR system. To interfere with the multichannel SAR, we first analyzed the results of SAR deceptive jamming generated by one transponder and two transponders against three-channel SAR- ground moving target indication (GMTI). Then, we propose a new deceptive jamming method against three-channel SAR-GMTI by using three synergetic transponders. By modulating each tr

APA, Harvard, Vancouver, ISO, and other styles

47

Chen, W. S., J. Liu, and J. Li. "Classification of UAV and bird target in low-altitude airspace with surveillance radar data." Aeronautical Journal 123, no. 1260 (2019): 191–211. http://dx.doi.org/10.1017/aer.2018.158.

Full text

Abstract:

ABSTRACTIn order to ensure low-altitude safety, a tracking and recognition method of unmanned aerial vehicle (UAV) and bird targets based on traditional surveillance radar data is proposed. First, several motion models for UAV and flying bird targets are established. Second, the target trajectories are filtered and smoothed with multiple motion models. Third, by calculating the time-domain variance of the model occurrence probability, the model conversion probability of the target is estimated, and then the target type is identified and classified. The effectiveness and robustness of the algor

APA, Harvard, Vancouver, ISO, and other styles

48

Ma, Haoran, Hang Sun, and Changsheng Li. "Penetration Overload Prediction Method Based on a Deep Neural Network with Multiple Inputs." Applied Sciences 13, no. 4 (2023): 2351. http://dx.doi.org/10.3390/app13042351.

Full text

Abstract:

In the process of high-speed penetration, penetrating ammunition is prone to problems such as penetration overload signal vibration and mixings and projectile attitude deflection. It is easy to misjudge if a fuze relies only on the overload data from the ground or the utilized program, and the actual penetration overload measured under actual launch conditions cannot be taken as the dynamic judgement basis. Therefore, a real-time penetration overload prediction method based on a deep neural network is proposed, which can predict overload values according to the projectile parameter settings, t

APA, Harvard, Vancouver, ISO, and other styles

49

Leonard, Julia A., Ryan H. Brown, and Paul J. Stapley. "Reaching to Multiple Targets When Standing: The Spatial Organization of Feedforward Postural Adjustments." Journal of Neurophysiology 101, no. 4 (2009): 2120–33. http://dx.doi.org/10.1152/jn.91135.2008.

Full text

Abstract:

We examined the spatial organization of feedforward postural adjustments produced prior to and during voluntary arm reaching movements executed while standing. We sought to investigate whether the activity of postural muscles before and during reaching was directionally tuned and whether a strategy of horizontal force constraint could be observed. To this end, eight human subjects executed self-paced reach-to-point movements on the random illumination of one of 13 light targets placed within a 180° array centered along the midline of the body. Analysis was divided into two periods: a first cor

APA, Harvard, Vancouver, ISO, and other styles

50

Cai, Bin, Xiaolong Hao, Li Chen, Jia Liang, Tianhao Cheng, and Ying Luo. "A Priori Knowledge Based Ground Moving Target Indication Technique Applied to Distributed Spaceborne SAR System." Remote Sensing 15, no. 9 (2023): 2467. http://dx.doi.org/10.3390/rs15092467.

Full text

Abstract:

Through formation flying, the distributed spaceborne SAR(synthetic aperture radar) system can increase the number of spatial degree of freedoms (DOFs) and provide flexible multi-baselines for SAR-GMTI (ground moving target indication), which improves the system performance. This paper proposes an a priori knowledge-based adaptive clutter cancellation and moving target detection technique applied to the distributed spaceborne SAR-GMTI systems. Firstly, the adaptive clutter cancellation technique is exploited to suppress the ground clutter. A priori knowledge, such as road network information, i

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!