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Front Matter: Volume 10615
2018
Ninth International Conference on Graphic and Image Processing (ICGIP 2017)
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Please use the following format to cite material from these proceedings: Publication of record for individual papers is online in the SPIE Digital Library. ...
The publisher is not responsible for the validity of the information or for any outcomes resulting from reliance thereon. ...
fusion for action recognition [10615-15]
10615 1D
Generating description with multi-feature fusion and saliency maps of image [10615-237]
10615 1E
Feature-fused SSD: fast detection for small objects ...
doi:10.1117/12.2316542
fatcat:tdaw76jq6nehpnttiga2lcuhna
2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14
2021
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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The Author Index contains the primary entry for each item, listed under the first author's name. ...
The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Wild-fires. ...
doi:10.1109/jstars.2022.3143012
fatcat:dnetkulbyvdyne7zxlblmek2qy
A Wildfire Smoke Detection System Using Unmanned Aerial Vehicle Images Based on the Optimized YOLOv5
2022
Sensors
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Third, a bidirectional feature pyramid network was applied to obtain a more accessible and faster multi-scale feature fusion. ...
Early detection of fire ignition from initial smoke can help firefighters react to such blazes before they become difficult to handle. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s22239384
pmid:36502081
pmcid:PMC9740073
fatcat:2jsnrativbfgjkfh77imbnfjcy
A Review on Deep Learning in UAV Remote Sensing
[article]
2023
arXiv
pre-print
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2021 pre-print arXiv:2101.10861v2 fatcat:23e5pxftmneqbc3npdwxcwjhwqOther Versions
The motivation for our work was to present a comprehensive review of the fundamentals of Deep Learning (DL) applied in UAV-based imagery. ...
Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many ...
Acknowledgments The authors would like to acknowledge Nvidia Corporation for the donation of the Titan X graphics card.
Conflicts of Interest The authors declare no conflict of interest. ...
arXiv:2101.10861v3
fatcat:bglcnnlnonfxbgmclivmvwy67y
Object Tracking Based on Satellite Videos: A Literature Review
2022
Remote Sensing
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Finally, a revised multi-level dataset based on wpafb videos is generated and quantitatively evaluated for future development in the satellite video-based tracking area. ...
Video satellites have recently become an attractive method of Earth observation, providing consecutive images of the Earth's surface for continuous monitoring of specific events. ...
Acknowledgments: We thank the anonymous reviewers and editors for their constructive comments and suggestions, which helped us to improve the manuscript. ...
doi:10.3390/rs14153674
fatcat:fhpk7dx6iba55msd3o2kaxppa4
Forest fire surveillance systems: A review of deep learning methods
2023
Heliyon
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In conclusion, this paper highlights the potential of deep learning methods in enhancing forest fire detection that is crucial for forest fire management and mitigation. ...
From the findings, of the usage of DL models for forest fire surveillance systems have yielded favourable outcomes, whereby the majority of studies managed to achieve accuracy rates that exceeds 90%. ...
Neural Style Transfer, Generative Adversarial Networks (GAN), and Neural Architecture Search (NAS) are some of the promising methods that offer extensive generation of synthetic data for the forest fire ...
doi:10.1016/j.heliyon.2023.e23127
pmid:38163175
pmcid:PMC10754902
fatcat:2x4j5cq2xfey5gbhj6ki5wmvue
A Survey of Computer Vision Methods for 2D Object Detection from Unmanned Aerial Vehicles
2020
Journal of Imaging
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This survey presents recent advancements in 2D object detection for the case of UAVs, focusing on the differences, strategies, and trade-offs between the generic problem of object detection, and the adaptation ...
of such solutions for operations of the UAV. ...
In particular, two sensor fusion configurations are compared: the first one consists of a Panchromatic and color camera, the second one of a four-band multi-spectral camera. ...
doi:10.3390/jimaging6080078
pmid:34460693
pmcid:PMC8321148
fatcat:ds4kpheadvg6xp2fambrp6nffq
Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
2023
Robotics
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open software frameworks, robust solutions for multi-robot teams, end-user involvement, use case scenarios, computational resource planning, management solutions to satisfy real-time operation constraints ...
Artificial perception for robots operating in outdoor natural environments, including forest scenarios, has been the object of a substantial amount of research for decades. ...
Generative Adversarial Networks (GANs) were used by Bittner et al. [251] to generate synthetic NIR multispectral images from fully annotated RGB images for data augmentation purposes. ...
doi:10.3390/robotics12050139
fatcat:gezkon2ivvgalkybgvenmf2emu
2020 Index IEEE Robotics and Automation Letters Vol. 5
2020
IEEE Robotics and Automation Letters
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., +, LRA Oct. 2020 5189-5196
Real-Time Fusion Network for RGB-D Semantic Segmentation Incorporat-
ing Unexpected Obstacle Detection for Road-Driving Images. ...
.,
+, LRA July 2020 4695-4702
Real-Time Fusion Network for RGB-D Semantic Segmentation Incorporat-
ing Unexpected Obstacle Detection for Road-Driving Images. ...
doi:10.1109/lra.2020.3032821
fatcat:qrnouccm7jb47ipq6w3erf3cja
Program
2021
2021 National Conference on Communications (NCC)
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The wireless transmitters and RF PA design require several new considerations to be useful for New Generation Radio Access Network (NG-RAN) in 5 G applications. ...
for UAVs in 5G and beyond. ...
of aircraft with applications to law enforcement and public safety, wild fire management, and package deliveries, give an idea of where we are today in terms of technology readiness. ...
doi:10.1109/ncc52529.2021.9530194
fatcat:ahdw5ezvtrh4nb47l2qeos3dwq
Machine Learning for Microcontroller-Class Hardware – A Review
[article]
2022
arXiv
pre-print
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We present both qualitative and numerical insights into different stages of model development by showcasing several use cases. ...
This paper highlights the unique requirements of enabling onboard machine learning for microcontroller class devices. ...
A class of residual networks intended for standard-UAV navigation without SLAM called DroNets [219] have been ported on nano-UAVs retrofitted with a PULP GAP8 SoC shield [220] . ...
arXiv:2205.14550v3
fatcat:y272riitirhwfgfiotlwv5i7nu
The Road Towards 6G: A Comprehensive Survey
[article]
2021
arXiv
pre-print
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It is time for academia and industry to shift their attention towards the next generation. ...
This article thus aims to provide a comprehensive survey to draw a picture of the sixth generation (6G) system in terms of drivers, use cases, usage scenarios, requirements, key performance indicators ...
New themes including new human-machine interface, ubiquitous computing, multi-sensory data fusion, and precise sensing and actuation. ...
arXiv:2102.01420v1
fatcat:7pexxlo3pjfwlls6dl4lvh77iq
Technical Program
2022
2022 IEEE International Conference on Consumer Electronics (ICCE)
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Luminance percentile information based creative intent metadata is used to compensate for imagery degradation caused by ambient light. ...
Multiple sections of tone mapping curves with multiple adjustment points along explicit Bezier curve is modified for better tone mapping curve control. ...
10:07 3D LiDAR Automatic Driving Environment Detection System Based on ...
doi:10.1109/icce53296.2022.9730380
fatcat:csqu3xqbczgdhpp3hbmvjpt26a
Autonomous Driving in Adverse Weather Conditions: A Survey
[article]
2021
arXiv
pre-print
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Automated Driving Systems (ADS) open up a new domain for the automotive industry and offer new possibilities for future transportation with higher efficiency and comfortable experiences. ...
State-of-the-art techniques on perception enhancement with regard to each kind of weather are thoroughly reported. ...
In addition, our deepest thanks to VTT Technical Research Center of Finland, the University of Waterloo, Pan Asia Technical Automotive Center Co., Ltd, and Civil Engineering Research Institute for Cold ...
arXiv:2112.08936v1
fatcat:hmgjhywy7rgx3fgrk6yxnu56ie
Spatial Clustering with SOM and GeoSOM: Case Study of Lisbon's Metropolitan Area
2010
2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services
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For experimental purposes, we assume a UAV network that is deployed to perform ship
detection on a specific area of interest. ...
A Vision Algorithm for
Dynamic Detection of Moving Vehicles with a UAV. ...
doi:10.1109/geoprocessing.2010.30
fatcat:d6es6triyjgarp3smlmbibvsra
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