Results 81 to 90 of about 691 (187)
Remote SensingRemote sensing image dehazing aims to enhance the visibility of hazy images and improve the quality of remote sensing imagery, which is essential for various applications such as object detection and classification.
Yitong Zheng +4 more
doaj +1 more source
Feasibility Study on the Use of Medium Resolution Satellite Data for the Detection of Forest Cover Change Caused by Clear Cutting of Coniferous Forests in the Northwest of Russia [PDF]
, 2005 This feasibility study examines possibilities of identifying and mapping of clear cuts in the boreal coniferous forests of north western Russia based on satellite imagery of medium spatial resolution (MRSD).
BUCHA Tomas, STIBIG HANS-JURGEN
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Expert Systems, Volume 42, Issue 9, September 2025.ABSTRACT Finding the correct match to a probe image from a vast amount of data is critical for the online retrieval of apparel images. These images are captured under an uncontrolled environment (e.g., viewpoint and illumination changes); therefore, such type of data is extremely challenging in Content‐Based Image Retrieval (CBIR) research.
Marryam Murtaza +5 more
wiley +1 more source
Earth and Space Science, Volume 12, Issue 8, August 2025.Abstract Remote sensing imagery has become an indispensable tool for cost‐effectively capturing extensive geospatial data across diverse applications. However, this technology remains fundamentally susceptible to noise contamination. Salt and pepper noise is one of the common issues that can significantly impair image quality and hinder subsequent ...
R. T. Cai +6 more
wiley +1 more source
, 2015 There exist today plenty of algorithms and many papers about dehazing or defogging, that is enhancing images taken in hazy or foggy conditions. To our knowledge none of them has got a signifcant result for dense and non-dense haze image at the same ...
Whannou de Dravo, Vincent
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WaveLiteDehaze‐Network: A Low‐Parameter Wavelet‐Based Method for Real‐Time Dehazing
CAAI Transactions on Intelligence Technology, Volume 10, Issue 4, Page 1033-1048, August 2025.ABSTRACT Although the image dehazing problem has received considerable attention over recent years, the existing models often prioritise performance at the expense of complexity, making them unsuitable for real‐world applications, which require algorithms to be deployed on resource constrained‐devices.
Ali Murtaza +5 more
wiley +1 more source
Enhancing Surveillance Vision with Multi-Layer Deep Learning Representation
MathematicsThis paper aimed to develop a method for generating sand–dust removal and dehazed images utilizing CycleGAN, facilitating object identification on roads under adverse weather conditions such as heavy dust or haze, which severely impair visibility ...
Dong-Min Son, Sung-Hak Lee
doaj +1 more source
Image dehazing by artificial multiple-exposure image fusion [PDF]
Signal Processing, 2018 Bad weather conditions can reduce visibility on images acquired outdoors, decreasing their visual quality. The image processing task concerned with the mitigation of this effect is known as image dehazing. In this paper we present a new image dehazing technique that can remove the visual degradation due to haze without relying on the inversion of a ...
openaire +1 more source
Fast No-reference Deep Image Dehazing
Machine Vision and ApplicationsAbstract This paper presents a deep learning method for image dehazing and clarification.The main advantages of the method are high computational speed and usingupaired image data for training. The method adapts the Zero-DCE approach for the image dehazing problem and uses high-order curves to adjust the dynamicrange of images and achieve ...
Hongyi Qin, Alexander G. Belyaev
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MathematicsSingle-image dehazing of high-voltage power transmission lines (HPTLs) using deep learning methods confronts two critical challenges: the non-homogeneous haze distribution in HPTL images and the unavailability of paired clear images for supervised ...
Xiaoyi Cuan +4 more
doaj +1 more source