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Honghao Li, Xiran Zhou and Zhigang Yan
The purpose of multisource map super-resolution is to reconstruct high-resolution maps based on low-resolution maps, which is valuable for content-based map tasks such as map recognition and classification. However, there is no specific super-resolution ...
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Anrieta Dudoit, Vytautas Rim?a, Marijonas Bogdevicius and Jacek Skorupski
Aircraft fly en route under concurrent event situations (conflicting situations), which occur when they operate in the same airspace but are too close to each other in the same time frame. Hence, the safe horizontal distance between them is not less than...
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Haoran Xu, Xinya Li, Kaiyi Zhang, Yanbai He, Haoran Fan, Sijiang Liu, Chuanyan Hao and Bo Jiang
Recently, deep learning has enabled a huge leap forward in image inpainting. However, due to the memory and computational limitation, most existing methods are able to handle only low-resolution inputs, typically less than 1 K. With the improvement of In...
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Yanxia Li and Yang Li
Name resolution system is an important infrastructure in Information Centric Networking (ICN) network architecture of identifier?locator separation mode. In the Local Name Resolution System (LNMRS), a hierarchical name resolution system for latency-sensi...
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Carlos Silveira, Joana Ferreira, Paolo Tuccella, Gabriele Curci and Ana I. Miranda
High-resolution air quality simulations are often performed using different nested domains and resolutions. In this study, the variability of nitrogen dioxide (NO2) concentrations estimated from two nested domains focused on Portugal (D2 and D3), with 5 ...
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Zetao Jiang, Yongsong Huang and Lirui Hu
The super-resolution generative adversarial network (SRGAN) is a seminal work that is capable of generating realistic textures during single image super-resolution. However, the hallucinated details are often accompanied by unpleasant artifacts. To furth...
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Hexin Lu, Xiaodong Zhu, Jingwei Cui and Haifeng Jiang
The process of iris recognition can result in a decline in recognition performance when the resolution of the iris images is insufficient. In this study, a super-resolution model for iris images, namely SwinGIris, which combines the Swin Transformer and ...
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Jiaqi Li, Jiali You and Haojiang Deng
Information-centric networking (ICN) is an emerging network architecture that has the potential to address low-transmission latency and high-reliability requirements in the fifth generation and beyond communication networks (5G/B5G). In the ICN architect...
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Jianming Liang, Kevin Robert Gurney, Darragh O?Keeffe, Maya Hutchins, Risa Patarasuk, Jianhua Huang, Yang Song and Preeti Rao
The ?Hestia Project? uses a bottom-up approach to quantify fossil fuel CO2 (FFCO2) emissions spatially at the building/street level and temporally at the hourly level. Hestia FFCO2 emissions are provided in the form of a group of sector-specific vector l...
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Li Wang, Wenli Chen, Kai Chen, Renjun He and Wenjian Zhou
In the high-resolution analog circuit, the performance of chips is an important part. The performance of the chips needs to be determined by testing. According to the test requirements, stimulus signal with better quality and performance is necessary. Th...
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Byunghyun Kim and Soojin Cho
In most hyperspectral super-resolution (HSR) methods, which are techniques used to improve the resolution of hyperspectral images (HSIs), the HSI and the target RGB image are assumed to have identical fields of view. However, because implementing these i...
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Chhabi Lal Chidi, Wei Zhao, Suresh Chaudhary, Donghong Xiong and Yanhong Wu
Soil erosion in the agricultural area of a hill slope is a fundamental issue for crop productivity and environmental sustainability. Building terrace is a very popular way to control soil erosion, and accurate assessment of the soil erosion rate is impor...
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Shanshan Liu, Qingbin Huang and Minghui Wang
Multi-frame super-resolution makes up for the deficiency of sensor hardware and significantly improves image resolution by using the information of inter-frame and intra-frame images. Inaccurate blur kernel estimation will enlarge the distortion of the e...
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Zhimin Zhang, Shaocong Liu, Minfei He, Yuran Huang, Cuifang Kuang, Yubing Han, Xiang Hao and Xu Liu
Pixel reassignment image scanning microscopy (PRISM) is a useful tool to improve the resolution of confocal laser scanning microscopy (CLSM) only equipped with a detector array. However, while it can improve the lateral resolution, it has little effect o...
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Xiongxiong Xue, Zhenqi Han, Weiqin Tong, Mingqi Li and Lizhuang Liu
Video super-resolution is a challenging task. One possible solution, called the sliding window method, tries to divide the generation of high-resolution video sequences into independent subtasks. Another popular method, named the recurrent algorithm, uti...
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Krzysztof Malczewski
One of the most challenging aspects of medical modalities such as Computed Tomography (CT) as well hybrid techniques such as CT/PET (Computed Tomography/Positron emission tomography) and PET/MRI is finding a balance between examination time, radiation do...
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Qian Zhang, Jie Ren, Hong Liang, Ying Yang and Lu Chen
Small object detection becomes a challenging problem in computer vision due to low resolution and less feature information. Making full use of high-resolution features is an important factor in improving small object detection. In this paper, to improve ...
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K. Lakshminarayanan, R. Santhana Krishnan, E. Golden Julie, Y. Harold Robinson, Raghvendra Kumar, Le Hoang Son, Trinh Xuan Hung, Pijush Samui, Phuong Thao Thi Ngo and Dieu Tien Bui
This paper proposed and verified a new integrated approach based on the iterative super-resolution algorithm and expectation-maximization for face hallucination, which is a process of converting a low-resolution face image to a high-resolution image. The...
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Steve W. Lyon, Marcus Nathanson, Norris Lam, Helen E. Dahlke, Martin Rutzinger, Jason W. Kean and Hjalmar Laudon
This pilot study explores the potential of using low-resolution (0.2 points/m2) airborne laser scanning (ALS)-derived elevation data to model stream rating curves. Rating curves, which allow the functional translation of stream water depth into discharge...
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Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti...
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