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An Efficient, General-Purpose Technique for Identifying Storm Cells in Geospatial Images

机译:识别地理空间图像中风暴细胞的高效通用技术

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摘要

Existing techniques for identifying, associating, and tracking storms rely on heuristics and are not trans-ferrable between different types of geospatial images. Yet, with the multitude of remote sensing instruments and the number of channels and data types increasing, it is necessary to develop a principled and generally applicable technique. In this paper, an efficient, sequential, morphological technique called the watershed transform is adapted and extended so that it can be used for identifying storms. The parameters available in the technique and the effects of these parameters are also explained.rnThe method is demonstrated on different types of geospatial radar and satellite images. Pointers are provided on the effective choice of parameters to handle the resolutions, data quality constraints, and dynamic ranges found in observational datasets.
机译:用于识别,关联和跟踪风暴的现有技术依赖于启发式方法,并且无法在不同类型的地理空间图像之间进行传递。然而,随着遥感仪器的众多以及通道和数据类型的数量的增加,有必要开发一种原理性且普遍适用的技术。在本文中,一种有效的,有序的形态学技术(称为分水岭变换)经过了改进和扩展,可用于识别风暴。还说明了该技术中可用的参数以及这些参数的影响。在不同类型的地理空间雷达和卫星图像上演示了该方法。提供了有关有效选择参数的指针,以处理分辨率,数据质量约束和观测数据集中发现的动态范围。

著录项

  • 来源
    《Journal of atmospheric and oceanic technology》 |2009年第3期|523-537|共15页
  • 作者单位

    Cooperative Institute of Mesoscale Meteorological Studies, University of Oklahoma, and National Oceanic and Atmospheric Administration/National Severe Storms Laboratory, Norman, Oklahoma 120 David L.Boren Blvd., Norman, OK 73072;

    National Oceanic and Atmospheric Administration/National Severe Storms Laboratory, Norman, Oklahoma;

    National Oceanic and Atmospheric Administration/National Severe Storms Laboratory, Norman, Oklahoma;

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