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首页> 外文期刊>International journal of image and data fusion >Data fusion using aerial photographs and satellite images for detailed landslide assessment
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Data fusion using aerial photographs and satellite images for detailed landslide assessment

机译：使用航空照片和卫星图像进行数据融合以进行详细的滑坡评估

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Hong Kong is one of the world's mountainous international cities, and landslides are a constant threat to human life and property. Monitoring landslides in Hong Kong is important and this is always done by field surveying. However, although conventional survey techniques provide accurate landslide information, they are limited to small areas and physical contact with the slope may be dangerous. Remote sensing techniques can provide an alternative for collecting information about landslide causes and occurrences, and they may assist in the prediction of future landslide occurrences. This article demonstrates the use of monoscopic and stereoscopic aerial photographs, along with satellite images from the IKONOS very high resolution (VHR) sensor for detailed landslide hazard assessment over Hong Kong. For monoscopic aerial photographs, a fusion technique for generating pseudo true colour images from false colour aerial photographs was demonstrated. The pseudo true colour image is useful for better visual analysis in the photogrammetric model. For monoscopic IKONOS image, a set of image fusion techniques was applied in order to improve landslide interpretation, and the results were examined visually and statistically. The Pan-sharpening method among all the image fusion techniques has been demonstrated to have superior performance for identifying both landslide trails and crowns. Stereoscopic viewing using a stereoscopic pair of aerial photographs and stereoscopic IKONOS images was employed for more detailed landslide investigation such as landscape positional relationships (e.g. streams and ridges). Digital elevation models (DEM) were generated from aerial photographs and IKONOS stereoscopic images, and they were compared with digital contour data with 2 m contour interval. The DEMs generated from digital photogrammetric model and IKONOS stereoscopic images are consistently more accurate than an existing DEM, and are sensitive to micro-scale terrain features. The Hong Kong Civil Engineering Department may use the derived monoscopic fused images, stereoscopic images, DEM and anaglyph as objective measures for a detailed landslide study within Hong Kong.
机译：香港是世界上多山的国际城市之一，山泥倾泻不断威胁着人类的生命和财产。监测香港的滑坡很重要，这通常是通过实地调查来完成的。但是，尽管常规的勘测技术可提供准确的滑坡信息，但它们仅限于较小的区域，与斜坡的物理接触可能会很危险。遥感技术可以提供一种收集有关滑坡起因和发生信息的替代方法，并且可以帮助预测未来的滑坡发生情况。本文演示了如何使用单目和立体航拍照片以及来自IKONOS超高分辨率（VHR）传感器的卫星图像对香港进行详细的滑坡灾害评估。对于单镜头航拍，展示了一种融合技术，可从伪彩色航拍照片生成伪真彩色图像。伪真彩色图像对于在摄影测量模型中更好地进行视觉分析很有用。对于单视IKONOS图像，应用了一组图像融合技术以改善对滑坡的解释，并对结果进行了视觉和统计检验。在所有图像融合技术中，泛锐化方法已被证明具有出色的识别滑坡痕迹和树冠的性能。使用一对立体航拍照片和立体IKONOS图像进行立体观察，以进行更详细的滑坡调查，例如景观位置关系（例如溪流和山脊）。从航拍照片和IKONOS立体图像生成数字高程模型（DEM），并将它们与等高线间隔为2 m的数字等高线数据进行比较。由数字摄影测量模型和IKONOS立体图像生成的DEM始终比现有DEM更为精确，并且对微尺度地形特征敏感。香港土木工程署可能会使用衍生的单幅融合图像，立体图像，DEM和浮雕作为客观的量度，以便在香港进行详细的滑坡研究。

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