基于静止气象卫星的三维云图测量技术研究
Study of the Measurement of Three Dimensional Cloud Image Based on the Geostationary Meteorological Satellite
中文摘要：
云图三维数据有着广泛的实际应用，在航空气象中，利用云图三维数据生成的云顶高度图用处非常大 。同时，它也是识别天气系统强度，尤其是确定最强对流云区的有效工具。研究方法通过确定两幅或多幅图像之间的对应点，得到视差数据，从而计算物体在三维空间的位置、朝向和深度等信息，重建三维场景。本文应用静止气象卫星FY-2E、FY-2C的VISSR云图数据进行三维云图测量,使用FY-2E、FY-2C在不同角度对同一区域进行同时拍摄的两幅图像对，进行数据处理获取VISSR云图的三维数据。使用的数据处理方法中，视差图中准确匹配的点在70%左右，可以分辨最低的云顶高度在3km左右。重点介绍云图数据处理中的虚拟相机模型建立、图像匹配及空间三维获取等关键技术。
中文关键词：
立体匹配，视差，VISSR
KeyWords：
stereo matching, disparity, VIRRS
Abstract：
Cloud 3D data have a wide range of practical applications. The generation of cloud top height by using 3D data is very important in aviation synoptics. It is also an effective tool for identifying the weather system strength, especially for recognizing the cloud area. The method determines the parallax data by detecting the orresponding points between two or more images, and calculates the position, orientation and depth of objects in 3D space, and reconstruct 3D scene. This paper employs the VISSR cloud data to measure 3D image from geostationary meteorological satellite FY-2E, FY-2C, and uses the pair of shoot images from the FY-2E and FY-2C at different angles in the same area to obtain 3D data of the VISSR images. The data processing method got around 70% of accurate disparity maps, about 3km of the lowest cloud-top altitude. The key technologies such as virtual camera model building, image matching and spatial 3D acquisition are ntroduced.