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Monitoring Landslide Phenomena along Li-Shing Estate Road in Nantou County of Central Taiwan by Applying an Object-Oriented Segmentation Approach

机译:应用面向对象分割方法监测中部南投县立城村公路滑坡现象

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Li-Shing estate road is a mountain road that plays an important role in communication between mountain villages and allows the transport of agricultural products from mountain villages to urban areas. However, Li-Shing estate road is located in a fracture zone, and landslides occur regularly along the road. Identifying the possible areas of landslide occurrence is an important issue in the prevention of disasters associated with landslides. This study employs the modified multiphase segmentation method to segment the normalized difference vegetation index (NDVI) generated using infrared and red-band information provided from SPOT satellite images. Low NDVI values can be grouped together to form a series of sub-regions. These sub-regions indicate regions that are either villages or landslide areas. The proposed approach imposes edge information in the multiphase segmentation method proposed by Vese and Chan, such that a series of NDVI data over different years can be efficiently segmented. By eliminating village areas, the landslide areas can be located. The located areas are compared with suspected areas provided by Moh And Associates Group Consulting Engineers to verify the segmented results. The MAA Group carried out geological exploration and drilling along Li-Shing estate road, such that suspected areas where landslide phenomena could occur have been located and reported. In addition to the modified multiphase approach, another segmentation approach called statistical region merging is employed to demonstrate that the landslide phenomena can be identified by employing an objected-oriented segmentation approach.
机译:利城村道是一条山区道路,在山区村庄之间的交流中起着重要作用,并允许农产品从山区村庄到城市的运输。但是,力城村的公路位于断裂带,滑坡经常发生在道路上。识别可能发生的滑坡区域是预防与滑坡相关的灾难的重要问题。本研究采用改进的多相分割方法,对利用SPOT卫星图像提供的红外和红波段信息生成的归一化植被指数(NDVI)进行分割。低NDVI值可以组合在一起以形成一系列子区域。这些子区域表示的是村庄或滑坡地区。提出的方法在Vese和Chan提出的多相分割方法中强加了边缘信息,从而可以有效地分割不同年份的一系列NDVI数据。通过消除村庄区域,可以定位滑坡区域。将定位区域与Moh And Associates Group咨询工程师提供的可疑区域进行比较,以验证分段结果。 MAA集团在利城村的公路上进行了地质勘探和钻探工作,从而确定并报告了可能发生滑坡现象的可疑区域。除了改进的多阶段方法之外,还采用了另一种称为统计区域合并的分割方法,以证明可以通过采用面向对象的分割方法来识别滑坡现象。

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