Deriving Ephemeral Gullies from VHR Image in Loess Hilly Areas through Directional Edge Detection

Deriving Ephemeral Gullies from VHR Image in Loess Hilly Areas through Directional Edge Detection
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通过定向边缘检测从黄土丘陵地区 VHR 图像中导出短暂沟壑

DOI:
10.3390/ijgi6110371
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发表时间:
2017-11
影响因子:
3.4
通讯作者:
Li Min
Li Min
中科院分区:
地球科学3区
文献类型:
--
作者:
Yang Xin;Dai Wen;Tang Guoan;Li Min

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监测短暂的冲沟有助于水资源规划和土壤保持。基于高空间分辨率影像的人工解译是大面积浅沟监测的主要方法,但该方法耗时较长。提出了一种基于方向边缘检测的黄土丘陵区浅沟半自动提取方法。首先,针对图像中浅沟的微弱痕迹难以被大多数图像检测器检测到的特点,提取浅沟发育的区域,避免了其他大型浅沟的噪声干扰;其次,利用Canny边缘检测器提取图像中的所有边缘;然后,沿浅沟发育方向的沿着边缘被搜索并编码为候选浅沟。最后,通过设置适当的长度阈值,对伪冲沟进行滤波,识别出浅沟。在3个黄土丘陵区的试验表明,准确率为38.18%~ 85.05%,完整率为82.35%~ 92.86%,质量为35.29%~ 79.82%。遥感图像的质量对结果有很大影响。当使用较少的草和灌木时,准确性显着提高。定向搜索中的长度阈值也影响了搜索的准确性。一个小的阈值导致额外的噪音和断开的沟壑,而一个大的阈值忽略了短的沟壑。通过质量指标可以得到一个合理的阈值。该阈值与浅沟平均长度也有很强的相关性,这种关系有助于确定北方黄土高原丘陵区浅沟的最佳阈值。
Monitoring ephemeral gullies facilitates water planning and soil conservation. Artificial interpretation based on high spatial resolution images is the main method for monitoring ephemeral gullies in large areas; however, this method is time consuming. In this study, a semiautomatic method for extracting ephemeral gullies in loess hilly areas based on directional edge detection is proposed. First, the area where ephemeral gullies developed was extracted because the weak trace of ephemeral gullies in images can hardly be detected by most image detectors, which avoided the noise from other large gullies. Second, a Canny edge detector was employed to extract all edges in the image. Then, those edges along the direction where ephemeral gullies developed were searched and coded as candidate ephemeral gullies. Finally, the ephemeral gullies were identified through filtering of pseudo-gullies by setting the appropriate length threshold. Experiments in three loess hilly areas showed that accuracy ranged from 38.18% to 85.05%, completeness ranged from 82.35% to 92.86%, and quality ranged from 35.29% to 79.82%. The quality of the remote sensing images highly affected the results. The accuracy was significantly improved when the image was used with less grass and shrubs. The length threshold in directional searching also affected the accuracy. A small threshold resulted in additional noise and disconnected gullies, whereas a large threshold disregarded the short gullies. A reasonable threshold can be obtained through the index of quality. The threshold also exhibits a strong relationship with the average length of ephemeral gullies, and this relationship can help obtain the optimum threshold in the hilly area of the Northern Loess Plateau of China.
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