Results 21 to 30 of about 896,165 (218)
Single Image Haze Removal Using Deep Cellular Automata Learning
IEEE Access, 2020 Deep learning is one of the most popular approaches to machine learning, which has been widely used for classification. In this paper, we propose a novel learning method based on a combination of an idea of the deep learning approach and the cellular ...
Surasak Tangsakul, Sartra Wongthanavasu
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Isosorbide-Based Optically Clear Adhesives With Ultrahigh Transparency and Rapid Strain Recovery for Flexible Displays. [PDF]
Adv Sci (Weinh)Biomass‐derived isosorbide‐based PUDA crosslinker enables optically clear adhesives with ultrahigh transparency (99.8%), rapid strain recovery, and stable adhesion for flexible displays. ABSTRACT Flexible and foldable displays require optically clear adhesives (OCAs) that combine ultrahigh optical transparency with mechanical resilience under repeated ...
Choi Y +8 more
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Haze Removal Using Aggregated Resolution Convolution Network
IEEE Access, 2019 The haze removal technique refers to the process of reconstructing haze-free images from scenes of inclement weather conditions. This task has an extensive demand in practical applications.
Linyuan He, Junqiang Bai, Le Ru
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A New Haze Removal Algorithm for Single Urban Remote Sensing Image
IEEE Access, 2020 The remote sensing imaging detection technology is an important means to effectively monitor and manage urban environment and resources, and remote sensing images are an important data source of smart city and digital city.
Shiqi Huang +4 more
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Image haze removal based on rolling deep learning and Retinex theory
IET Image Processing, 2022 Multispectral remote sensing images are a very important data source, but its acquisition process is often affected by haze weather and other factors, resulting in the decline of image quality, blurred details and poor visual effect, which seriously ...
Shiqi Huang +4 more
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Haziness Degree Evaluator: A Knowledge-Driven Approach for Haze Density Estimation
Sensors, 2021 Haze is a term that is widely used in image processing to refer to natural and human-activity-emitted aerosols. It causes light scattering and absorption, which reduce the visibility of captured images. This reduction hinders the proper operation of many
Dat Ngo, Gi-Dong Lee, Bongsoon Kang
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Haze removal concept in remote sensing [PDF]
, 2016 Atmospheric haze causes visibility to drop, therefore affecting data acquired using optical sensors on board remote sensing satellites. Haze modifies the spectral signatures of land cover classes and reduces classification accuracy so causing problems to
Quegan, S. +3 more
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The variability of volatile organic compounds during a persistent fog-haze episode
Frontiers in Environmental Science, 2022 A persistent fog-haze process associated with high pollution occurred in the northern suburbs of Nanjing from November to December 2013. Based on the comprehensive chemical and microphysical observations during the intense observation period, the ...
Yue Zhao +4 more
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Insulator fault feature extraction system of substation equipment based on machine vision
IET Networks, EarlyView., 2022 Abstract The artificial intelligence technology and intelligent automation are more and more widely used, the insulators play a supporting and insulating role in the operation of the grid. The use of machine vision inspection technology to detect insulator faults has become an inevitable trend of the times.
Keruo Jiang +4 more
wiley +1 more source
e-Prime: Advances in Electrical Engineering, Electronics and EnergyAutonomous vehicle navigation technology is increasing rapidly. However, automatic sign recognition in complex illumination environments like low-light, hazy regions is a significant challenge in in-vehicle navigation. So, haze removal and robust traffic
A. Radha Rani +3 more
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