Mr. Yingbao Yang Profile

Yingbao Yang

at Hohai Univ

SPIE Involvement:

Author

Publications (9)

SPIE Journal Paper | 19 January 2022

Spatio-temporal variation of fractional vegetation coverage in the Aydingkol Lake Basin

Zi Yang, Xin Pan, Chaoshuai You, Yingbao Yang, Suyi Liu, Wenying Xie

JARS, Vol. 16, Issue 01, 014506, (January 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.014506

KEYWORDS: Vegetation, Data modeling, Remote sensing, Landsat, Earth observing sensors, Electroluminescence, Factor analysis, Machine learning, Lanthanum, Sensors

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Proceedings Article | 10 April 2018 Paper

Land surface temperature downscaling using random forest regression: primary result and sensitivity analysis

Xin Pan, Chen Cao, Yingbao Yang, Xiaolong Li, Liangliang Shan, Xi Zhu

Proceedings Volume 10615, 106154C (2018) https://doi.org/10.1117/12.2302495

KEYWORDS: Vegetation, Spatial resolution, Short wave infrared radiation, Reflectivity, MODIS, Remote sensing, Infrared sensors, Infrared radiation, Data modeling, Soil science

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SPIE Journal Paper | 27 November 2013

Integration of multidimensional parameters of polarimetric synthetic aperture radar images for land use and land cover classification

Yingbao Yang, Shuang Yu, Yanwen Li, Dengsheng Lu

JARS, Vol. 7, Issue 01, 073472, (November 2013) https://doi.org/10.1117/12.10.1117/1.JRS.7.073472

KEYWORDS: Scattering, Polarimetry, Image classification, Polarization, Synthetic aperture radar, Statistical analysis, Image analysis, Detection and tracking algorithms, Image segmentation, Satellites

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Proceedings Article | 24 October 2011 Paper

Research on the impact of impervious surface area on urban heat island in Jiangsu Province

Yingbao Yang, Ping Pan

Proceedings Volume 8286, 82861P (2011) https://doi.org/10.1117/12.912517

KEYWORDS: Vegetation, Remote sensing, Statistical analysis, Thermal effects, Reflectivity, Image classification, Landsat, Algorithm development, Earth observing sensors, Error analysis

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Proceedings Article | 30 October 2009 Paper

The influence of urban design factors on urban heat environment in urban residential area with remote sensing

Yingbao Yang, Lin Yao

Proceedings Volume 7498, 74984K (2009) https://doi.org/10.1117/12.832869

KEYWORDS: Remote sensing, Satellites, Environmental sensing, Spatial resolution, Sun, Earth observing sensors, High resolution satellite images, Super resolution, Temperature metrology, Infrared imaging

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Proceedings Article | 3 November 2008 Paper

SAR optimal polarization analysis based on polarization synthesis

Yanwen Li, Yonghong Zhang, Yingbao Yang

Proceedings Volume 7145, 71452N (2008) https://doi.org/10.1117/12.813079

KEYWORDS: Polarization, Scattering, Antennas, Detection and tracking algorithms, Synthetic aperture radar, Polarimetry, Transceivers, Radar, Electromagnetic scattering, Polarization analysis

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Proceedings Article | 8 August 2007 Paper

Image fusion based on improved HIS and curvelet transform integrated method

Sansheng Cheng, Yingbao Yang, Yanwen Li

Proceedings Volume 6752, 67520S (2007) https://doi.org/10.1117/12.760462

KEYWORDS: Image fusion, RGB color model, Distortion, Earth observing sensors, Fusion energy, High resolution satellite images, Wavelets, Near infrared, Image analysis, Computed tomography

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Proceedings Article | 25 July 2007 Paper

A study on time-space character of urban heat island effect and relations with LUCC based on remote sensing

Yingbao Yang, Nan Jiang, Sansheng Cheng, Yanwen Li

Proceedings Volume 6753, 67532V (2007) https://doi.org/10.1117/12.761910

KEYWORDS: Thermal effects, MODIS, Remote sensing, Vegetation, Landsat, Quantitative analysis, Atmospheric modeling, Industrial chemicals, Climatology, Earth observing sensors

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This paper takes Nanjing city as an example, analyzes diurnal and seasonal characteristics of UHI by eight granule and sixteen scenes MODIS, respectively. The land cover index (LCI) has been constructed to get a quantitative analysis about the changes of land use/land cover how to affect the distributional characteristics of urban thermal space. The results indicate the diurnal intensity of UHI is stronger than night's no matter whichever season it happens, but different season has different UHI intensity. The strongest intensity of UHI happens in autumn, the second in summer, the third in spring, the last in winter. The most extensive in scope occurs in summer, the second in autumn, the third in spring, the last in winter. There are three centers of heat island in Nanjing, mainly locating in industrial region, not in commercial or residential region. The spatial distribution pattern of land use/land cover affects wholly the distributional pattern of the urban heat space. The difference of surface material's thermal and biologic feature is the essential reasons of surface temperature distribution difference. Artificial heat has important effect on heat island. The LCI can reflect surface soil water content and vegetation cover and explains the essential reasons that each land use/land cover contributes differentially to urban heat island. Such an index can allow changes in land use at neighborhood-scale to be input in the initialization of atmospheric and hydrological models, as well as provides a new approach for urban heat island analysis. The LCI of urban land use is smaller than that of water, forest and cropland. Smaller is LCI, stronger the intensity of urban heat island is. For a special region, LCI will increase gradually per unit area with higher urbanization level. At last, remote sensing scale how to affect UHI time and space character is discussed. The intensity and scope of urban heat island results are different with different remote scale. The intensity and scope using ETM+ are all lager than that using MODIS.

Proceedings Article | 28 October 2006 Paper

Shadows detection and removal of IKONOS imagery based on spatial-distribution relations

Yingbao Yang, Weizhong Su, Sansheng Cheng, Yanwen Li

Proceedings Volume 6419, 641903 (2006) https://doi.org/10.1117/12.712589

KEYWORDS: Earth observing sensors, High resolution satellite images, Image segmentation, Image classification, Image fusion, Satellite imaging, Satellites, 3D modeling, Image processing, Model-based design

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Showing 5 of 9 publications

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