Results 11 to 20 of about 278,436 (276)

Video-Based Point Cloud Compression Artifact Removal [PDF]

IEEE Transactions on Multimedia, 2022
Photo-realistic point cloud capture and transmission are the fundamental enablers for immersive visual communication. The coding process of dynamic point clouds, especially video-based point cloud compression (V-PCC) developed by the MPEG standardization group, is now delivering state-of-the-art performance in compression efficiency.
Anique Akhtar, Wen Gao, Li Li, Zhu Li, Wei Jia, Shan Liu   +5 more
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Hybrid Gan and Spectral Angular Distance for Cloud Removal [PDF]

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021
This paper aims to present a new algorithm to remove thin clouds and retain information in corrupted images without the use of auxiliary data. By injecting physical properties into the cycle consistent generative adversarial network (GAN), we converted a cloudy multispectral image to a cloudless one. To recover information beneath clouds and shadows we
Ghozatlou, Omid, Datcu, Mihai
openaire   +1 more source

Efficient In-Cloud Removal of Aerosols by Deep Convection. [PDF]

Geophys Res Lett, 2019
AbstractConvective systems dominate the vertical transport of aerosols and trace gases. The most recent in situ aerosol measurements presented here show that the concentrations of primary aerosols including sea salt and black carbon drop by factors of 10 to 10,000 from the surface to the upper troposphere.
Yu P, Yu P, Froyd KD, Portmann RW, Toon OB, Freitas SR, Bardeen CG, Brock C, Fan T, Gao RS, Katich JM, Kupc A, Liu S, Maloney C, Murphy DM, Rosenlof KH, Schill G, Schwarz JP, Williamson C.   +18 more
europepmc   +4 more sources

Cloud Removal from Satellite Images

, 2021
In this report, we have analyzed available cloud detection technique using sentinel hub. We have also implemented spatial attention generative adversarial network and improved quality of generated image compared to previous solution [7].
Chauhan, Rutvik, Singh, Antarpuneet, Saha, Sujoy   +2 more
openaire   +2 more sources

A Novel Dense-Attention Network for Thick Cloud Removal by Reconstructing Semantic Information

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The presence of thick clouds in single optical images shows the contamination of interesting objects. Besides, the difficulty of thick cloud removal is mainly the restoration of the weak boundary information from cloud-contaminated areas.
Yuyun Chen, Zhanchuan Cai, Jieyu Yuan, Lianghai Wu   +3 more
doaj   +1 more source

Cloud removal Using Atmosphere Model

, 2022
Cloud removal is an essential task in remote sensing data analysis. As the image sensors are distant from the earth ground, it is likely that part of the area of interests is covered by cloud. Moreover, the atmosphere in between creates a constant haze layer upon the acquired images.
Guo, Yi, Li, Feng, Wang, Zhuo
openaire   +2 more sources

Cloud Removal with SAR-Optical Data Fusion and Graph-Based Feature Aggregation Network

Remote Sensing, 2022
In observations of Earth, the existence of clouds affects the quality and usability of optical remote sensing images in practical applications. Many cloud removal methods have been proposed to solve this issue.
Shanjing Chen, Wenjuan Zhang, Zhen Li, Yuxi Wang, Bing Zhang   +4 more
doaj   +1 more source

Exploring the Impact of Different Registration Methods and Noise Removal on the Registration Quality of Point Cloud Models in the Built Environment: A Case Study on Dickabrma Bridge

Buildings, 2023
Point cloud models are prevalently utilized in the architectural and civil engineering sectors. The registration of point clouds can invariably introduce registration errors, adversely impacting the accuracy of point cloud models.
Zicheng Zhu, Steve Rowlinson, Tianzhuo Chen, Alan Patching   +3 more
doaj   +1 more source

Pix2pix Conditional Generative Adversarial Network with MLP Loss Function for Cloud Removal in a Cropland Time Series

Remote Sensing, 2021
Clouds are one of the major limitations to crop monitoring using optical satellite images. Despite all efforts to provide decision-makers with high-quality agricultural statistics, there is still a lack of techniques to optimally process satellite image ...
Luiz E. Christovam, Milton H. Shimabukuro, Maria de Lourdes B. T. Galo, Eija Honkavaara   +3 more
doaj   +1 more source

Attribute Artifacts Removal for Geometry-Based Point Cloud Compression

IEEE Transactions on Image Processing, 2022
Geometry-based point cloud compression (G-PCC) can achieve remarkable compression efficiency for point clouds. However, it still leads to serious attribute compression artifacts, especially under low bitrate scenarios. In this paper, we propose a Multi-Scale Graph Attention Network (MS-GAT) to remove the artifacts of point cloud attributes compressed ...
Xihua Sheng, Li Li, Dong Liu, Zhiwei Xiong   +3 more
openaire   +3 more sources