Mr. Yu Wang Profile

Yu Wang

at Beijing Institute of Space Mechanics & Electricity

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Publications (7)

Proceedings Article | 30 April 2024 Paper

Crop lodging area detection using polarimetric SAR images

Bo Li, YIming He, Hongyan He, Yu Wang, Yufei Ding

Proceedings Volume 13157, 131570F (2024) https://doi.org/10.1117/12.3015637

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Proceedings Article | 4 April 2023 Paper

Remote sensing image matching algorithm based on the correlation coefficient-least square method

Yu Wang, Bo Li, Yufei Ding, Hongyan He

Proceedings Volume 12617, 126175K (2023) https://doi.org/10.1117/12.2666545

KEYWORDS: Correlation coefficients, Feature extraction, Windows, Distortion, Image processing, Remote sensing, Deformation, Tunable filters, Linear filtering, Image filtering

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Proceedings Article | 27 March 2022 Paper

Research on long wave infrared imaging of sea target

Xuemin Zhang, Yue ZHANG, Hao Zhao, Hong-Yan Deng, Yu Wang

Proceedings Volume 12169, 121690A (2022) https://doi.org/10.1117/12.2619575

KEYWORDS: Polarization, Infrared imaging, Infrared radiation, Target detection, Infrared detectors, Imaging systems, Infrared technology, Long wavelength infrared, Image processing, Infrared cameras

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Proceedings Article | 5 November 2020 Paper

Detection of space target in and out of field of view for continuous image frame

Chenghua Cao, Wenbo Wu, Yu Wang

Proceedings Volume 11566, 1156606 (2020) https://doi.org/10.1117/12.2574823

KEYWORDS: Target detection, Detection and tracking algorithms, Image segmentation, Satellite imaging, Satellites, Motion analysis, Image processing, Target acquisition, Motion estimation, Image analysis

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Proceedings Article | 20 September 2020 Presentation + Paper

Modeling and simulation techniques of cloud radiation characteristics for space-based remote sensing

Yu Wang, Xiaoyong Wang, Hongyan He, Chenghua Cao

Proceedings Volume 11531, 115310A (2020) https://doi.org/10.1117/12.2573689

KEYWORDS: Clouds, 3D modeling, Target detection, Remote sensing, Modeling and simulation, Solar radiation, Atmospheric sensing, Atmospheric particles, Particles, Fractal analysis

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According to the latest satellite observations, clouds cover about 67% of the earth's surface and affect the radiation budget of the earth-atmosphere system by scattering and absorbing short-wave radiation from incident sunlight and longwave radiation from the ground. The characteristics of cloud particles at different altitudes are complex and changeable in space and time, the microphysical properties of real clouds are still unknown. As a kind of discrete random medium, cloud inevitably causes background interference to satellite-to-earth link laser communication, satellite remote sensing, etc. Therefore, the research on light scattering and radiation characteristics of clouds is not only helpful for predicting climate change and understanding the radiation budget of the global atmospheric system, but also has important significance for other fields in atmospheric physics. This paper starts with the modeling of the spatial distribution of the cloud, studies the spatial distribution patterns and internal microstructures of clouds, uses the multi-scale superposition algorithm in fractal theory to establish a three-dimensional spatial distribution model of clouds, and controls the parameters of the different types of clouds in the algorithm. The cloud layer can be regarded as an irregular structure composed of water droplets or ice crystal particles of various sizes in a three-dimensional space. The modeling of the spatial distribution of clouds includes two main parts: the modeling of clouds in spatial morphology and the modeling of the clouds in microscopic physical structure. For modeling of the spatial distribution of clouds, a multi-scale overlay algorithm is used. This algorithm has many controllable parameters and flexible control. It can generate various types of clouds according to needs, and can simulate dynamics by increasing the fractal dimension cloud structure. The multiscale superposition algorithm is used to establish the spatial distribution models of different types of clouds.

Proceedings Article | 18 December 2019 Paper

Vegetation information extraction in urban area based on high resolution remote sensing images

Yu Wang, Xiaoyong Wang, Hongyan He, Guoliang Tian

Proceedings Volume 11341, 113411Q (2019) https://doi.org/10.1117/12.2547659

KEYWORDS: Vegetation, Remote sensing, Image segmentation, Image classification, Image analysis, Image processing, Image resolution, Atmospheric sensing, Spatial resolution, Satellites

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Proceedings Article | 5 March 2018 Paper

Atmospheric correction for remote sensing image based on multi-spectral information

Yu Wang, Hongyan He, Wei Tan, Wenwen Qi

Proceedings Volume 10710, 1071014 (2018) https://doi.org/10.1117/12.2316290

KEYWORDS: Atmospheric corrections, Reflectivity, Atmospheric modeling, Atmospheric particles, Remote sensing, Atmospheric physics, Satellites, Atmospheric sensing, Aerosols, Vegetation

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Showing 5 of 7 publications

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