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Local Contrast and Global Contextual Information Make Infrared Small Object Salient Again
[article]
2023
arXiv
pre-print
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Infrared small object detection (ISOS) aims to segment small objects only covered with several pixels from clutter background in infrared images. ...
On the other hand, FFC can gain image-level receptive fields and extract global information while preventing small objects from being overwhelmed.Experiments on several public datasets demonstrate that ...
network structure. • We further propose CDC to extract local contrast information based on human visual system which is essential for infrared small object detection, meanwhile we use FFC to obtain image-level ...
arXiv:2301.12093v3
fatcat:3hgvvomaxjfchipg7hdzyjn6o4
MoCoPnet: Exploring Local Motion and Contrast Priors for Infrared Small Target Super-Resolution
[article]
2022
arXiv
pre-print
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Based on the SR results, we further investigate the influence of SR on infrared small target detection and the experimental results demonstrate that MoCoPnet promotes the detection performance. ...
In this paper, we propose the first infrared small target SR method named local motion and contrast prior driven deep network (MoCoPnet) to integrate the domain knowledge of infrared small target into ...
In this paper, we mainly focus on infrared small target SR task and investigate its influence on infrared small target detection. ...
arXiv:2201.01014v4
fatcat:3zgiegxc2rgknijaagrzx5oh4a
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 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. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, JSTARS 2021 4933-4945 Infrared Small Maritime Target Detection Based on Integrated Target Saliency Measure. ...
doi:10.1109/jstars.2022.3143012
fatcat:dnetkulbyvdyne7zxlblmek2qy
EAAU-Net: Enhanced Asymmetric Attention U-Net for Infrared Small Target Detection
2021
Remote Sensing
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However, existing CNN-based methods with pooling layers may lose the targets in the deep layers and, thus, cannot be directly applied for infrared small target detection. ...
Detecting infrared small targets lacking texture and shape information in cluttered environments is extremely challenging. ...
[21] integrated global and local dilated residual convolution blocks into U-Net for the remote infrared detection of unmanned aerial vehicles (UAVs). Huang et al. ...
doi:10.3390/rs13163200
fatcat:4c6ehm7g3valpibz37teh6l36y
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, ...
Utilization of CIDs allows articles to be fully citable as soon as they are published online, and connects the same identifier to all online and print versions of the publication. ...
for moving target tracking based on mean-shift algorithm 10806 18 An image preprocessing algorithm for infrared small target detection in the near-earth background 10806 19 Dynamic saliency detection ...
doi:10.1117/12.2510343
fatcat:maohjht2t5apneao4iivotwxey
Object Tracking Based on Satellite Videos: A Literature Review
2022
Remote Sensing
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The development of on-board optical and communication systems has enabled the various applications of satellite image sequences. ...
Thus, this survey systematically investigates current satellite video-based tracking approaches and benchmark datasets, focusing on five typical tracking applications: traffic target tracking, ship tracking ...
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
Research Contribution and Comprehensive Review towards the Semantic Segmentation of Aerial Images Using Deep Learning Techniques
2022
Security and Communication Networks
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and remote-sensing images. ...
The main aim of this review is to provide a clear algorithmic categorization and analysis of the diverse contribution of semantic segmentation of aerial images and expects to give the comprehensive details ...
Also, the authors would like to thank the individual copyright holders for consent conceded to incorporate referred figures in this work.
26 Security and Communication Networks ...
doi:10.1155/2022/6010912
fatcat:qxoogfb3zneypkh5w3m5p3ts3e
The State of Aerial Surveillance: A Survey
[article]
2022
arXiv
pre-print
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We conclude the paper with discussion on the missing gaps and open research questions to inform future research avenues. ...
It aims to provide readers with an in-depth systematic review and technical analysis of the current state of aerial surveillance tasks using drones, UAVs and other airborne platforms. ...
Both the BIRDAI [12] dataset and UAV-Human [80] dataset provides thermal-infrared images of humans for detection. ...
arXiv:2201.03080v2
fatcat:x7o6zgx2x5cwjkz5ftuizll7nu
Author Index
2021
2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)
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Bi, Xinjie Visibility Graph based Feature Extraction for Fault Diagnosis of Rolling Bearings [570256] Bin, Jie Optimization Method of Virtual Sand Table Background Server Based on Unity 3D [571175] C ...
on Principal Component Analysis and Grey Model [570236] Evaluation Method of Rotating Machinery Health State Based on TPE-XGBoost [570379] Study on Target Detection and Tracking Method of UAV Based on ...
Improved K-means Algorithm [570330] 54 UnifiedFFL Model Based Reliability, Safety and Testability Integrated Analysis Method [570335]Peng, YuStudy on Target Detection and Tracking Method of UAV Based ...
doi:10.1109/phm-nanjing52125.2021.9612757
fatcat:h4xp5wbdvjdpvmsri2dktwupbi
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 ...
In this paper, we perform a critical review on RS tasks that involve UAV data and their derived products as their main sources including raw perspective images, digital surface models, and orthophotos. ...
Acknowledgments: This work was established at the Geospatial Data Analytics (GDA) group in the Department of Civil, Environmental and Geodetic Engineering (CEGE) at the Ohio State University (OSU). ...
doi:10.3390/rs11121443
fatcat:qlo6rpg2s5f6jd4lmy3ypvp4wq
2020 Index IEEE Transactions on Industrial Informatics Vol. 16
2020
IEEE Transactions on Industrial Informatics
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Distributed Clock Synchronization Based on Intelligent Clustering in Local Area Industrial IoT Systems; TII June 2020 3697-3707 Jia, S., see Chen, C., 1873-1884 Jia, W., see Wang, T., 2054-2062 Jia, ...
Forests-Based Model for Ultra-Short-Term Prediction of PV Characteristics; TII Jan. 2020 202-214 Imran, A., see Hussain, B., TII Aug. 2020 4986-4996 Imran, M., see Fu, S., TII Sept. 2020 6013-6022 ...
., +, TII April 2020 2335-2345
Image sampling
Deep-Learning-Based Small Surface Defect Detection via an Exaggerated
Local Variation-Based Generative Adversarial Network. ...
doi:10.1109/tii.2021.3053362
fatcat:blfvdtsc3fdstnk6qoaazskd3i
A comprehensive review of 3D convolutional neural network-based classification techniques of diseased and defective crops using non-UAV-based hyperspectral images
2023
Smart Agricultural Technology
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2023 pre-print arXiv:2306.09418v1 fatcat:rbcwlleo7naf7g5kcme6mrpioi
On the other hand, 3D-CNN-based models have shown significant promise in achieving better classification and detection results by leveraging spectral and spatial features simultaneously. ...
State-of-the-art methods based on 1D- and 2D-CNNs struggle to efficiently extract spectral and spatial information. ...
The resulting model can then be utilized to predict the class label of new samples or to detect the presence of specific targets in the image. ...
doi:10.1016/j.atech.2023.100316
fatcat:qoyqnfiocfcmlpxlnrlb24x57q
UAV in the advent of the twenties: Where we stand and what is next
2022
ISPRS journal of photogrammetry and remote sensing (Print)
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The aim of this paper is to (i) review best practices for the use of UAVs for remote sensing and mapping applications and (ii) report on current trends -including adjacent domains -for UAV use and discuss ...
UAV solutions then require an inter-disciplinary research, integrating different expertise and combining several hardware and software components on the same platform. ...
Value Networks and Enabling Meaningful Experiences (UNITE) (decision no 337127) and the Finnish UAV Ecosystem (decision no 337018). ...
doi:10.1016/j.isprsjprs.2021.12.006
fatcat:2fes3xk5wrafxklh6y4skshqla
Recognition of Bloom/Yield in Crop Images Using Deep Learning Models for Smart Agriculture: A Review
2021
Agronomy
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Remote sensing technologies offer accuracy and reliability in crop yield prediction and estimation. ...
The automation in image analysis with computer vision and deep learning models provides precise field and yield maps. ...
The SIFT detection algorithm requires scaling of local features in the images. The HOG method can extract global features by computing the edge gradient. ...
doi:10.3390/agronomy11040646
fatcat:n3ru7ggspvgixlcu24meshbax4
Remote Sensing and Machine Learning in Crop Phenotyping and Management, with an Emphasis on Applications in Strawberry Farming
2021
Remote Sensing
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., high-resolution RGB, multispectral, hyperspectral, chlorophyll fluorescence, and light detection and ranging (LiDAR)) allows a range of spatial and spectral resolutions depending on the trait in question ...
The research discussed is broadly categorized according to strawberry traits related to (1) fruit/flower detection, fruit maturity, fruit quality, internal fruit attributes, fruit shape, and yield prediction ...
In recent years, numerous studies have been conducted on this topic, mainly aimed at developing new image-based object detection and localization algorithms to improve recognition accuracy. ...
doi:10.3390/rs13030531
fatcat:yts5pbuq2zhwrm6rt6c6hmkyti
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