Mr. Sansheng Cheng Profile

Sansheng Cheng

at Hohai Univ

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Publications (4)

Proceedings Article | 14 November 2007 Paper

Study on classification based on image fusion with curvelet transform

Sansheng Cheng, Yingbao Yang, Yanwen Li

Proceedings Volume 6790, 67900G (2007) https://doi.org/10.1117/12.742231

KEYWORDS: Image fusion, Image classification, Image visualization, Earth observing sensors, High resolution satellite images, Roads, Buildings, Distortion, Image analysis, Near infrared

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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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