Results 21 to 30 of about 2,939,416 (298)
Shadow detection from images using fuzzy logic and PCPerturNet
IET Image Processing, 2021 Shadow detection is a challenging and essential task for interpreting the scene. Regardless of encouraging findings from current Deep Learning (DL) approaches used for shadow detection, the methods are also dealing with inconsistent situations where the ...
Jyotismita Chaki
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Moving Shadow Detection in Video Using Cepstrum [PDF]
, 2010 Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels.
Cogun, Fuat, Cetin, Ahmet Enis
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Insignificant shadow detection for video segmentation [PDF]
, 2005 To prevent moving cast shadows from being misunderstood as part of moving objects in change detection based video segmentation, this paper proposes a novel approach to the cast shadow detection based on the edge and region information in multiple frames.
Tang, X. +14 more
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Cloud and Cloud Shadow Detection of GF-1 Images Based on the Swin-UNet Method
Atmosphere, 2023 Cloud and cloud shadow detection in remote sensing images is an important preprocessing technique for quantitative analysis and large-scale mapping. To solve the problems of cloud and cloud shadow detection based on Convolutional Neural Network models ...
Yuhao Tan +7 more
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Journal of King Saud University: Computer and Information Sciences, 2023 Recent shadow detectors excel on simple datasets but encounter difficulties with facial shadow images under complex lighting due to the lack of annotated shadow masks, varying shadow sizes, and imbalances between the target and background.
Hongliang Zhou, Jizheng Yi
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A NEW CLOUD SHADOW DETECTION ALGORITHM BASED ON PRIOR LAND TYPE DATABASE SUPPORT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Cloud shadow detection is one of the basic step for remote sensing image processing. The threshold method is commonly used currently because of its easy implementation and good accuracy. Aiming at the problems that common threshold settings are difficult
X. Y. Zhou, L. Sun
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Remote Sensing, 2022 Shadow detection is an essential research topic in the remote-sensing domain, as the presence of shadow causes the loss of ground-object information in real areas. It is hard to define specific threshold values for the identification of shadow areas with
Zhanjun He +4 more
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Terrestrial Hyperspectral Image Shadow Restoration through Lidar Fusion
Remote Sensing, 2017 Acquisition of hyperspectral imagery (HSI) from cameras mounted on terrestrial platforms is a relatively recent development that enables spectral analysis of dominantly vertical structures.
Preston Hartzell +2 more
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ORTHOPHOTO SHADOW DETECTION METHOD UNDER ARTIFICIAL SHADOW [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Shadows are ubiquitous in high-resolution images, especially in urban regions where there are more serious shadow occlusions. In order to improve the detection effect of shadows, this paper analyzes the characteristics and properties of shadows in ...
W. X. Zhang +6 more
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IET Computer Vision, 2018 Shadow features such as colour ratio, texture, and chromaticity have proved to be quite effective in shadow detection. Many shadow detection methods have been proposed on the basis of different features.
Liangqiong Qu +4 more
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