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UAV-Assisted Wide Area Multi-Camera Space Alignment Based on Spatiotemporal Feature Map
2021
Remote Sensing
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To address this problem, we propose a UAV-assisted wide area multi-camera space alignment approach based on spatiotemporal feature map. ...
Through solving relative relationship with the above air-to-ground point correspondences, all ground cameras can be aligned into one surveillance space. ...
An illustration of the proposed UAV-assisted wide area multi-camera space alignment approach based on spatiotemporal feature map. ...
doi:10.3390/rs13061117
fatcat:j3cqwl32e5cz7d47jj2c3n42t4
ADVANCES AND CHALLENGES OF UAV SFM MVS PHOTOGRAMMETRY AND REMOTE SENSING: SHORT REVIEW
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This literature review provides a summary overview on the recent developments and applications of light-weight UAVs and on the widely-accepted SfM - MVS approach. ...
Overall, the accuracy and quality of the SfM-MVS-derived products (e.g. orthomosaics, digital surface model) depends on the quality of the UAV data set, characteristics of the study area and processing ...
This step aligns acquired images and establishes relative orientation, recosntructing multi-stereo pairs based on epipolar geometry. ...
doi:10.5194/isprs-archives-xlii-3-w12-2020-267-2020
fatcat:7bx2ulukxnftpinzt6hnvsiezi
Unmanned Aerial Vehicle for Remote Sensing Applications—A Review
2019
Remote Sensing
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Based on these solutions, we provide a brief summary of existing examples of UAV-based RS in agricultural, environmental, urban, and hazards assessment applications, etc., and by discussing their practical ...
simultaneously using multi-sensor data for fusion. ...
On the other hand, an advantage of UAV-based RS and mapping is their relative low cost. ...
doi:10.3390/rs11121443
fatcat:qlo6rpg2s5f6jd4lmy3ypvp4wq
Deep Learning on Multi Sensor Data for Counter UAV Applications—A Systematic Review
2019
Sensors
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Therefore, the need to present a complete overview of deep learning technologies applied to c-UAV related tasks on multi-sensor data has emerged. ...
The aim of this paper is to describe deep learning advances on c-UAV related tasks when applied to data originating from many different sensors as well as multi-sensor information fusion. ...
The proposed method attempts to learn a low-dimensional feature space, in which the mapped features have small within-class scatter and big between class separation. ...
doi:10.3390/s19224837
pmid:31698862
pmcid:PMC6891421
fatcat:rivnqa3uafdpnffieajljuc23a
Mapping the Groundwater Level and Soil Moisture of a Montane Peat Bog Using UAV Monitoring and Machine Learning
2021
Remote Sensing
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Additionally, we estimated the area of applicability (AOA) by presenting maps where the prediction model yielded high-quality results and where predictions were highly uncertain because machine learning ...
selection (FFS) to avoid overfitting and to predict on unknown locations. ...
UAV mapping of an entire study area cannot be maintained constantly during field campaigns due to wind, battery, or camera failures, particularly for the Tetracam camera, which is sensitive to operational ...
doi:10.3390/rs13050907
doaj:1ab3a96d5ef7492493289ca641ee11b1
fatcat:lujxlwtixvhnvpl3roeefphczu
Data Fusion for Intelligent Crowd Monitoring and Management Systems: A Survey
2021
IEEE Access
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Based on this, we propose a multi-sensor, multi-modal, and dimensional ICMMS architecture based on data fusion. ...
Then, we identify the data fusion processes in the ICMMS and classify them into sensor fusion, feature-based data fusion, and decision fusion. ...
, and cameras on UAVs. ...
doi:10.1109/access.2021.3060631
fatcat:pmcenkqrnjgw5gixqgogau52jq
Front Matter: Volume 10806
2018
Tenth International Conference on Digital Image Processing (ICDIP 2018)
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. ▪ The last two digits indicate publication order within the volume using a Base 36 numbering system employing both numerals and letters. These two-number sets start with 00, 01, 02, 03, 04, ...
on accumulation detection 10806 11 Moving object detection in videos from hand-held camera 10806 12 Forward vehicle detection method based on geometric constraint and multi-feature fusion 10806 13 ...
weighted mean filter [10806-271]
IMAGE MATCHING
Registration of dense matched point cloud from UAV-borne images [10806-40]
10806 2H
Deep space image registration method based on geometric feature ...
doi:10.1117/12.2510343
fatcat:maohjht2t5apneao4iivotwxey
Multiple-hypothesis tracking of multiple ground targets from aerial video with dynamic sensor control
2004
Signal Processing, Sensor Fusion, and Target Recognition XIII
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(e.g. positions, velocities, features) to generate tracks of currently and previously moving targets and confusers; and (iii) a sensor resource manager that schedules camera pan, tilt, and zoom to support ...
One of the key components of VIVID is the Multiple Target Tracker (MTT), whose main function is to track many ground targets simultaneously by slewing the video sensor from target to target and zooming ...
Feature Extraction
Feature
Image-to-Image Registration In order to provide contextual information to assist tracking, stabilize platform and camera motion, and correct metadata errors, the VP registers ...
doi:10.1117/12.541208
fatcat:o2jsqyujorbj7nefp7hehunshy
A Technical Study on UAV Characteristics for Precision Agriculture Applications and Associated Practical Challenges
2021
Remote Sensing
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Over a hundred research studies were reviewed on UAVs applications in PA and practical challenges in monitoring and mapping field crops. ...
In this paper, a practical guide on technical characterizations of common types of UAVs used in PA is presented. ...
Consumer-grade cameras are widely used for RS. ...
doi:10.3390/rs13061204
fatcat:wavadzfzjvhajjm7qvdgpf7ux4
Applications of Unmanned Aerial Vehicles in Cryosphere: Latest Advances and Prospects
2020
Remote Sensing
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The recent usage of UAVs outlined in 103 case studies provide expertise that future investigators should base decisions on. ...
on this topic. ...
Similar to the identification of features on glacier surfaces, periglacial landform features were also distinguished from the mapped products. Dąbski et al. ...
doi:10.3390/rs12060948
fatcat:m5jnwe6zkvgcvhhh6wckcigbdm
State of the Art in Vision-Based Localization Techniques for Autonomous Navigation Systems
2021
IEEE Access
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[61] has aligned 3D points on the global map by an iterative closest point (ICP) algorithm. ...
Motion is estimated in Large Scale Direct-SLAM [47] by the image alignment method that relies on the depth map. ...
doi:10.1109/access.2021.3082778
fatcat:bgt6qrpdcngnrisgnday74ohsm
The Potential of Low-Cost UAVs and Open-Source Photogrammetry Software for High-Resolution Monitoring of Alpine Glaciers: A Case Study from the Kanderfirn (Swiss Alps)
2019
Geosciences
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To assess the potential of autonomous low-cost UAVs for the mapping and monitoring of alpine glaciers, we conducted multiple aerial surveys on the Kanderfirn in the Swiss Alps in 2017 and 2018 using open ...
Based on the analysis and comparison of different orthophotos and DSMs, surface elevation, roughness and brightness changes from 3 June to 29 September 2018 were quantified. ...
Many thanks also go to the supportive Paparazzi UAV and OpenDroneMap communities as well as to the developers of additional open-source software used in this study (e.g. QGIS, R, LibreOffice). ...
doi:10.3390/geosciences9080356
fatcat:txxulamcyve5zlx25dxgjb45oe
A Survey of Vehicle Re-identification Based on Deep Learning
2019
IEEE Access
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There are mainly five types of deep learning-based methods designed for vehicle re-identification, i.e. methods based on local features, methods based on representation learning, methods based on metric ...
learning, methods based on unsupervised learning, and methods based on attention mechanism. ...
correction information, so they cannot be used for video-based cross-camera vehicle tracking, lacking the ability to track vehicles over a wide area. ...
doi:10.1109/access.2019.2956172
fatcat:gxzry6py4bhrjnb2qxqtu4r27u
2020 Index IEEE Robotics and Automation Letters Vol. 5
2020
IEEE Robotics and Automation Letters
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., +, LRA April 2020 516-523 Wide Area Exploration System Using Passive-Follower Robots Towed by Multiple Winches. ...
., +,
LRA April 2020 516-523
Wide Area Exploration System Using Passive-Follower Robots Towed by
Multiple Winches. ...
doi:10.1109/lra.2020.3032821
fatcat:qrnouccm7jb47ipq6w3erf3cja
High-Throughput Plant Phenotyping Platform (HT3P) as a Novel Tool for Estimating Agronomic Traits From the Lab to the Field
2021
Frontiers in Bioengineering and Biotechnology
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Finally, we consider current phenotypic challenges and provide fresh perspectives on future development trends of HT3Ps. ...
Here, we review these HT3Ps in nearly 7 years from greenhouses and growth chambers to the field, and from ground-based proximal phenotyping to aerial large-scale remote sensing. ...
breeding (GAB) through genomic approaches of quantitative trait loci (QTL) mapping, marker assisted selection (MAS), genomic selection (GS), and genome-wide association studies (GWAS), thereby assisting ...
doi:10.3389/fbioe.2020.623705
pmid:33520974
pmcid:PMC7838587
fatcat:5rfrtcrkr5bcphaaemxrvle4ym
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