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首页> 外文期刊>Transactions in GIS: TG >Sketch-based Identification of Bench and Terrace Slope Breaks in the Laramie Basin, Wyoming
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Sketch-based Identification of Bench and Terrace Slope Breaks in the Laramie Basin, Wyoming

机译：基于草图的怀俄明州拉勒米盆地台阶和阶地斜坡折断识别

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摘要

This study presents a semi-automated approach to support the identification of fluvial landform slope breaks in the Laramie Basin, southeastern Wyoming. The landforms in question form the edges of terraces and benches and tend to be subtle and varied depending on where they appear in the landscape. Because of this variation combined with DEM error, conventional raster filtering methods were unable to readily identify the benches with any consistency. In an effort to automate the collection of benches, a two stage, sketch-based algorithm was designed to detect bench edges on a semi-automated basis and was integrated into a commercial GIS environment for testing and execution. The approach of tailoring an algorithm to detect a particular feature proved viable and, in fact, more consistent in many cases than heads-up digitizing. However, feature complexity appears to be a significant driver in the accuracy of the algorithmic approach with the unlikely finding that more complex features are more accurately identified than less complex features. This research demonstrates that user cognition, DEM resolution, algorithm functionality and landform characteristics are thus all important and interrelated factors requiring consideration when implementing approaches to topographic feature identification.
机译：这项研究提出了一种半自动方法，以支持对怀俄明州东南部拉勒米盆地的河流地形坡折的识别。所讨论的地貌形成了梯田和长凳的边缘，并根据它们在景观中的位置而趋于微妙和变化。由于这种变化与DEM误差相结合，常规的栅格滤波方法无法轻易地确定具有任何一致性的基准。为了自动进行工作台收集，设计了一种基于草图的两阶段算法来半自动检测工作台边缘，并将其集成到商业GIS环境中进行测试和执行。修改算法以检测特定特征的方法被证明是可行的，并且实际上在许多情况下比平视数字化更一致。但是，特征复杂度似乎是算法方法准确性的重要驱动因素，不太可能发现较复杂的特征比不那么复杂的特征更准确地被识别。这项研究表明，在实施地形特征识别方法时，用户认知，DEM分辨率，算法功能和地形特征都是重要且相互关联的因素。

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