Results 11 to 20 of about 125,463 (218)
Multiple Frame Splicing and Degradation Learning for Hyperspectral Imagery Super-Resolution
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Hyperspectral imagery (HSI) is an emerging remote sensing technology to discriminate different remote sensing objects. However, the HSI spatial resolution is relatively low due to the trade-off in restricted physical hardware and various imaging ...
Chenwei Deng, Xingshi Luo, Wenzheng Wang
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IMPACT OF DEEP LEARNING-BASED SUPER-RESOLUTION ON BUILDING FOOTPRINT EXTRACTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Automated building footprints extraction from High Spatial Resolution (HSR) remote sensing images plays important roles in urban planning and management, and hazard and disease control. However, HSR images are not always available in practice.
H. He +9 more
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Regulation of ER-Golgi Transport Dynamics by GTPases in Budding Yeast
Frontiers in Cell and Developmental Biology, 2018 A large number of proteins are synthesized de novo in the endoplasmic reticulum (ER). They are transported through the Golgi apparatus and then delivered to their proper destinations.
Yasuyuki Suda +4 more
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JISA (Jurnal Informatika dan Sains), 2021 This problem addresses the problem of low-resolution image (noisy) that will proof later by PSNR number. The best way to improve this low-resolution problem is by utilizing Super Resolution (SR) algorithm methodology.
Muhamad Ghofur, Tjong Wan Sen
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SURVEY OF SUPER RESOLUTION TECHNIQUES [PDF]
ICTACT Journal on Image and Video Processing, 2019 The key objective of super-resolution imaging is the process of reconstructing a high resolution image from one or a set of low resolution images, to overcome the ill-posed conditions of the image capturing process to get better visualization.
Anand Deshpande, Prashant P Patavardhan
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Review and Prospect of Image Super-Resolution Technology
Jisuanji kexue yu tansuo, 2020 Image super-resolution (SR) is an important type of image processing technology for improving image and video resolution in computer vision. In recent years, thanks to the success of neural networks, image super-resolution technology based on deep ...
LIU Ying, ZHU Li, LIM Kengpang, LI Yinghua, WANG Fuping, LU Jin
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mapSR: A Deep Neural Network for Super-Resolution of Raster Map
ISPRS International Journal of Geo-Information, 2023 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.
Honghao Li, Xiran Zhou, Zhigang Yan
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Role of Atg8 in the regulation of vacuolar membrane invagination
Scientific Reports, 2019 Cellular heat stress can cause damage, and significant changes, to a variety of cellular structures. When exposed to chronically high temperatures, yeast cells invaginate vacuolar membranes.
Ayane Ishii +7 more
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Guided filter-based multi-scale super-resolution reconstruction
CAAI Transactions on Intelligence Technology, 2020 The learning-based super-resolution reconstruction method inputs a low-resolution image into a network, and learns a non-linear mapping relationship between low-resolution and high-resolution through the network.
Xiaomei Feng +3 more
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Energy Reports, 2022 Water is the source of life and a very important part of life. However, the current water resources security is facing global challenges. Affected by climate change and human factors, how to quickly realize the continuous monitoring of water resources ...
Lei Feng +5 more
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