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Enhanced cloud removal via temporal U-Net and cloud cover evolution simulation [PDF]
Scientific ReportsRemote sensing images are indispensable for continuous environmental monitoring and Earth observations. However, cloud occlusion can severely degrade image quality, posing a significant challenge for the accurate extraction of ground information ...
Qingwei Tong +4 more
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A novel cloud removal method by fusing features from SAR and neighboring optical remote sensing images. [PDF]
PLoS ONEOptical remote sensing images were prone to extensive cloud coverage, especially under mountainous conditions with frequent weather changes. To address this issue, this paper proposed a novel cloud removal method that integrated features from SAR and ...
Yuyao Wang, Jiehai Cheng
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A new aerosol wet removal scheme for the Lagrangian particle model FLEXPART v10 [PDF]
Geoscientific Model Development, 2017 A new, more physically based wet removal scheme for aerosols has been implemented in the Lagrangian particle dispersion model FLEXPART. It uses three-dimensional cloud water fields from the European Centre for Medium-Range Weather Forecasts (ECMWF) to ...
H. Grythe +7 more
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Cloud Removal in the Tibetan Plateau Region Based on Self-Attention and Local-Attention Models [PDF]
SensorsOptical remote sensing images have a wide range of applications but are often affected by cloud cover, which interferes with subsequent analysis. Therefore, cloud removal has become indispensable in remote sensing data processing. The Tibetan Plateau, as
Guoqiang Zheng, Tianle Zhao, Yaohui Liu
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Agronomy, 2023 Constructing optical image time series for cropland monitoring requires a cloud removal method that accurately restores cloud regions and eliminates discontinuity around cloud boundaries.
Soyeon Park, No-Wook Park
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Former-CR: A Transformer-Based Thick Cloud Removal Method with Optical and SAR Imagery
Remote Sensing, 2023 In the field of remote sensing, cloud and cloud shadow will result in optical remote sensing image contamination, particularly high cloud cover, which will result in the complete loss of certain ground object information.
Shuning Han +2 more
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Framework to Create Cloud-Free Remote Sensing Data Using Passenger Aircraft as the Platform
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Cloud removal in optical remote sensing imagery is essential for many Earth observation applications. To recover the cloud obscured information, some preconditions must be satisfied. For example, the cloud must be semitransparent or relationships between
Chisheng Wang +9 more
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Cloud Removal in Remote Sensing Using Sequential-Based Diffusion Models
Remote Sensing, 2023 The majority of the optical observations collected via spaceborne optical satellites are corrupted by clouds or haze, restraining further applications of Earth observation; thus, exploring an ideal method for cloud removal is of great concern.
Xiaohu Zhao, Kebin Jia
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Subpixel Snow Mapping Using Daily AVHRR/2 Data over Qinghai–Tibet Plateau
Remote Sensing, 2022 Based on a linear spectral mixture model and multiple endmember spectral mixture analysis, using daily advanced very-high-resolution radiometer (AVHRR/2) data of the Qinghai–Tibet Plateau, a subpixel snow mapping algorithm was proposed in this paper, for
Ji Zhu +8 more
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Remote Sensing, 2023 Clouds are the major source of clutter in optical remote sensing (RS) images. Approximately 60% of the Earth’s surface is covered by clouds, with the equatorial and Tibetan Plateau regions being the most affected.
Renzhe Wu +9 more
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