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Object-oriented information extraction and evaluation of seismic damage of buildings using very high spatial resolution imagery

机译:使用非常高的空间分辨率图像进行面向对象的信息提取和建筑物的地震破坏评估

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Earthquake is one of the most serious natural disasters in the world. With the continuous improvement of the spatial resolution of remote sensing image, it contains more abundant information, which can better reflect the features of geometric structure and texture information. The operation of the image is not only rely on the image element, but also use the object to carry on the operation. This paper proposes a fast building damage information extraction and evaluation of technology process which can quickly extract and evaluate the disaster area. Using the method of object oriented extracts the buildings of Yushu disaster area based on the pre-earthquake and post-earthquake QuickBird image. It has a high accuracy of 88.53% and 90.21%, respectively, and extracts the regional change information, whose change area is 15923.52m2 accounted for 68.16% of the entire study area that assesses for moderate to severe disaster areas. This rapid seismic damage information extraction is a kind of practical and effective method, which is worth popularizing widely.
机译:地震是世界上最严重的自然灾害之一。随着遥感图像空间分辨率的不断提高,它包含的信息越来越丰富,可以更好地反映出几何结构和纹理信息的特征。图像的操作不仅依赖于图像元素,而且还使用对象进行操作。本文提出了一种快速的建筑损伤信息提取和技术过程评估方法,可以快速提取和评估灾区。使用面向对象的方法,基于地震前和地震后的QuickBird图像提取玉树灾区的建筑物。它具有分别为88.53%和90.21%的高精度,并提取了区域变化信息,其变化区域为15923.52m2,占评估中度至重灾区的整个研究区域的68.16%。这种快速的地震破坏信息提取是一种实用有效的方法,值得广泛推广。

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