Results 21 to 30 of about 1,106,531 (257)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
A Semiphysical Approach of Haze Removal for Landsat Image [PDF]
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The presence of haze could seriously contaminate the observations of optical satellite imagery. Haze not only significantly affects the visual interpretation but also reduces the accuracy of map products. In this article, a semiphysical approach is proposed to reduce the haze effects for Landsat image.
Feng Liu +4 more
openaire +3 more sources
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
core +1 more source
Nighttime Haze Removal with Illumination Correction
CoRR, 2016 Haze removal is important for computational photography and computer vision applications. However, most of the existing methods for dehazing are designed for daytime images, and cannot always work well in the nighttime. Different from the imaging conditions in the daytime, images captured in nighttime haze condition may suffer from non-uniform ...
Jing Zhang 0037 +2 more
openaire +2 more sources
Removal of haze and noise from a single image [PDF]
SPIE Proceedings, 2012 Images of outdoor scenes often contain degradation due to haze, resulting in contrast reduction and color fading. For many reasons one may need to remove these effects. Unfortunately, haze removal is a difficult problem due the inherent ambiguity between the haze and the underlying scene.
Erik Matlin, Peyman Milanfar
openaire +1 more source