首页> 外文会议>Conference on land surface remote sensing >Comparison between the research result of mathematical morphology method applied to satellite SAR data and the other reported results for the detection of the 2011 off the Pacific coast of Tohoku Japan Earthquake and Tsunami affected farmlands
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Comparison between the research result of mathematical morphology method applied to satellite SAR data and the other reported results for the detection of the 2011 off the Pacific coast of Tohoku Japan Earthquake and Tsunami affected farmlands

机译:用于卫星SAR数据的数学形态学方法的研究结果与2011年日本东北太平洋沿岸地震和海啸受灾农田的其他报道结果的比较

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A great earthquake and following great tsunami occurred on 11th March 2011 over the wide areas of the north-east of Japan. The agricultural fields along the coast were submerged under the seawater caused by the Tsunami tidal wave for some periods. The soil in such farmland suffered from salt of sea water. As soil salinity is hindrance to the crop growth, the detection of Tsunami flooded farmland is important for agriculture. ALOS satellite data were obtained from March 13th including both optical sensor data and SAR data. And aerial photograph for photogrammetry was taken from the next day of the earthquake by Geospatial Information Authority of Japan. Many research institutes and universities performed ground survey and made Tsunami flooded extent maps in that region. But as for cloud and large areas, SAR data has advantage. Therefore the author tried detecting the Tsunami flooded extents from ALOS/PALSAR HH data. The outline procedure of the analysis is threshold method for extracting the low backscattering areas as a black and white color image, opening operation of mathematical morphology using a 3 by 3 filter size for clearing small islands, dilation operation of mathematical morphology using a 3 by 3 filter size to establish united areas in the scene. The obtained images are compared to aerial photograph and ground survey maps.
机译:2011年3月11日,日本东北大片地区发生了大地震和海啸。沿海地区的农田在一段时间内被海啸淹没在海水中。这种农田的土壤遭受海水盐分的侵蚀。由于土壤盐分会阻碍作物的生长,因此对海啸淹没的农田进行检测对于农业至关重要。 3月13日获得了ALOS卫星数据,包括光学传感器数据和SAR数据。地震的第二天,由日本地理空间信息管理局(Geospatial Information Authority)拍摄了用于摄影测量的航拍照片。许多研究机构和大学进行了地面勘测,并制作了该地区的海啸泛滥范围图。但是对于云和大面积区域,SAR数据具有优势。因此,作者试图从ALOS / PALSAR HH数据中检测海啸泛滥程度。分析的概述过程是阈值方法,用于将低反向散射区域提取为黑白图像,使用3 x 3滤镜大小的数学形态的打开操作以清除小岛,使用3 x 3的数学形态的膨胀操作过滤器大小以在场景中建立统一区域。将获得的图像与航空照片和地面勘测图进行比较。

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