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Relation between ground features and mathematical morphology using JERS-1/SAR data during flooding time in paddy areas

机译:稻谷区洪水时间灌溉时间在地面特征与数学形态之间的关系

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The conventional method of detecting flood extent using satellite SAR data is derived from signal intensity changes for each pixel between before and during the flood time. But if we employ this single pixel (pixel to pixel) image processing strategy, we will be confronted with many difficulty to detect flood inundated areas especially existing paddy fields or floating rice growing regions just like South-east Asia. Because we can see the water surface at the early period of rice plant growing season in such areas, it will be difficult to distinguish the flood inundated areas with such water surface of paddy fields. But the SAR signal intensity should include the information of interaction between ground features and microwave radar. Using mathematical morphology, we can investigate particular ground feature, such as regularly straight lined levees of consolidated paddy fields. The natural corner reflectance effect for SAR signal will occur only in the flood time at some isolated trees or human habitat areas. Some lined segment structuring elements, such as river courses, irrigation canals, will be derived from an application of directional morphological operators. Then the author would like to introduce some sample images as for such relationship between ground features and morphological methods.
机译:使用卫星SAR数据检测泛洪程度的传统方法是从洪水时间之前和期间的每个像素的信号强度变化导出。但是,如果我们使用这个单个像素(像素到像素)图像处理策略,我们将面对许多困难来检测洪水淹没的区域,特别是现有的稻田或浮水稻生长区域就像东南亚。因为我们可以在这些地区看到水稻植物早期的水面,因为在这些地区的水稻植物的早期季节中,难以将洪水淹没的区域与稻田的这种水面区分开来。但是SAR信号强度应包括地面特征和微波雷达之间的相互作用信息。使用数学形态学,我们可以调查特殊的地面特征,例如综合稻田的定期直线衬砌滑动路线。 SAR信号的自然角落反射效果仅在一些孤立的树木或人类栖息地区域的洪水时间发生。一些衬里的段结构元素,如河流课程,灌溉运河,将来自定向形态运算符的应用。然后,作者想向地面特征与形态学的这种关系引入一些样本图像。

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