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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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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Suppression of local haze variations in MERIS images over turbid coastal waters for retrieval of suspended sediment concentration [PDF]
, 2010 Atmospheric correction over turbid waters can be problematic if atmospheric haze is spatially variable. In this case the retrieval of water quality is hampered by the fact that haze variations could be partly mistaken for variations in suspended sediment
Shen, F., Verhoef, W.
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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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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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Single Image Haze Removal Based on a Simple Additive Model With Haze Smoothness Prior [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2022 Single image haze removal, which is to recover the clear version of a hazy image, is a challenging trask in computer vision. In this paper, an additive haze model is proposed to approximate the hazy image formation process. In contrast with the traditional optical model, it regards the haze as an additive layer to a clean image.
Xiaoqin Zhang +5 more
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Robust Single-Image Haze Removal Using Optimal Transmission Map and Adaptive Atmospheric Light
Remote Sensing, 2020 Haze removal is an ill-posed problem that has attracted much scientific interest due to its various practical applications. Existing methods are usually founded upon various priors; consequently, they demonstrate poor performance in circumstances in ...
Dat Ngo, Seungmin Lee, Bongsoon Kang
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Seasonal distributions of fine aerosol sulfate in the North American Arctic basin during TOPSE [PDF]
, 2003 We used the mist chamber/ion chromatography technique to quantify fine aerosol SO4=(\u3c2.7 μm) in the Arctic during the Tropospheric Ozone Production about the Spring Equinox Experiment (TOPSE) with about 2.5 min time resolution.
Debell, Linsey J +5 more
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Haze removal concept in remote sensing [PDF]
Applied Mathematical Sciences, 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 users of remote sensing data.
Ahmad, A., Quegan, S.
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