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Feature separation and non-shadow information-guided shadow removal network [PDF]

open access: yesTongxin xuebao
To tackle the performance bottlenecks and color deviation issues stemming from current shadow removal methods, a feature separation and non-shadow information guided shadow removal network (FSNIG-ShadowNet) was constructed.
HUANG Ying   +4 more
doaj   +5 more sources

Automatic Shadow Direction Determination using Shadow Low Gradient Direction Feature in RGB VHR Remote Sensing Images [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2022
Shadow detection provides worthwhile information for remote sensing applications, e.g. building height estimation. Shadow areas are formed in the opposite side of the sunlight radiation to tall objects, and thus, solar illumination angle is required to ...
M. Kakooei, Y. Baleghi
doaj   +3 more sources

Evaluation of shadow features

open access: yesIET 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
doaj   +2 more sources

A Moving Shadow Elimination Method Based on Fusion of Multi-Feature

open access: yesIEEE Access, 2020
Moving shadow elimination plays an important role in the field of moving object detection. However, the accuracy of shadow elimination is an open question, due to illumination and complex texture.
Hongrui Zhang   +4 more
doaj   +3 more sources

ShadowFormer++: multi-scale shadow priors and diffusion-guided refinement for high-fidelity shadow removal [PDF]

open access: yesScientific Reports
Shadows in images cause significant challenges for computer vision applications as they degrade image quality and hinder tasks such as object detection, visual tracking, and semantic segmentation.
Stutee Mohanty   +2 more
doaj   +2 more sources

MSFANet: Multi-Scale Strip Feature Attention Network for Cloud and Cloud Shadow Segmentation

open access: yesRemote Sensing, 2023
Cloud and cloud shadow segmentation is one of the most critical challenges in remote sensing image processing. Because of susceptibility to factors such as disturbance from terrain features and noise, as well as a poor capacity to generalize ...
Kai Chen   +5 more
doaj   +3 more sources

Shadow Detection in Remote Sensing Images Based on Multibranch Feature Aggregation and Channel-Spatial Attention

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
High-resolution remote sensing image shadow detection has wide applications in target recognition, land information retrieval, and other fields.
Xueli Chang   +4 more
doaj   +3 more sources

Shadow-Based False Target Identification for SAR Images

open access: yesRemote Sensing, 2023
In radar electronic countermeasures, as the difference between jamming and targets continues to decrease, traditional methods that are implemented based on classical features are currently unable to meet the requirements of jamming detection.
Haoyu Zhang   +5 more
doaj   +1 more source

Temporal Feature Warping for Video Shadow Detection

open access: yesCoRR, 2021
While single image shadow detection has been improving rapidly in recent years, video shadow detection remains a challenging task due to data scarcity and the difficulty in modelling temporal consistency. The current video shadow detection method achieves this goal via co-attention, which mostly exploits information that is temporally coherent but is ...
Shilin Hu   +2 more
openaire   +2 more sources

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