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Loess shoulder-lines are the most critical terrain feature in representing and modeling the landforms of the Loess Plateau of China. Existing algorithms usually fail in obtaining a continuous shoulder-line for complicated surface, DEM quality and algorithm limitation. This paper proposes a new method, by which gradient vector flow (GVF) snake model is(More)
The Chinese Loess Plateau suffers from serious gully erosion induced by natural and human causes. Gully-affected areas detection is the basic work in this region for gully erosion assessment and monitoring. For the first time, an unmanned aerial vehicle (UAV) was applied to extract gully features in this region. Two typical catchments in Changwu and Ansai(More)
  • Fayuan Li
  • 2010 3rd International Congress on Image and…
  • 2010
An integrated method combining digital terrain analysis (DTA) and object-oriented image analysis is used to classified loess slope into six types according to surface shape. Firstly, several data layers are extracted from Digital Elevation Models (DEM). Secondly, the data layers are combined into a multi-band image. Thirdly, object-based image analysis is(More)
Optimal scale selection is the key step of the slope segmentation. Taking three geomorphological units in different parts of the loess as test areas and 5 m-resolution DEMs as original test date, this paper employed the changed ROC-LV (Lucian, 2010) in judging the optimal scales in the slope segmentation process. The experiment results showed that this(More)
In loess plateau, the shoulder-line makes a distinct separation between positive terrains and negative terrains. Using 6 typical landform units along north-south trend of the Loess Plateau as test areas and 5 m-resolution DEMs as original test data, positive terrain and negative terrain are extracted with the method of neighborhood analysis and slope(More)
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