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
复制标题
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
复制
发表时间:
2017-11
影响因子:
3.4
通讯作者:
Li Min
中科院分区:
文献类型:
--
作者:
Yang Xin;Dai Wen;Tang Guoan;Li Min
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.
登录
查看更多内容
影响因子:
6.2
作者:
E. Taguas;Yongping Yuan;R. Bingner;J. A. Gomez
通讯作者:
E. Taguas;Yongping Yuan;R. Bingner;J. A. Gomez
影响因子:
3.7
作者:
Jiang S;Tang G;Liu K
通讯作者:
Liu K
DOI:
10.1109/tits.2004.838221
发表时间:
2004-12-01
影响因子:
8.5
作者:
He, YH;Wang, H;Zhang, B
通讯作者:
Zhang, B
影响因子:
3.9
作者:
R. Shruthi;N. Kerle;V. Jetten;A. Stein
通讯作者:
R. Shruthi;N. Kerle;V. Jetten;A. Stein
DOI:
10.1109/tgrs.2007.906107
发表时间:
2007-12-01
影响因子:
8.2
作者:
Hu, Jiuxiang;Razdan, Anshuman;Wonka, Peter
通讯作者:
Wonka, Peter