摘要
为了实现水土保持监测工作中基于遥感影像对生产建设项目扰动地表面积的快速有效提取,以输变电工程为例,利用国产高分系列卫星GF-2和GF-1的遥感影像产品和输变电杆塔点位先验信息,结合Otsu阈值分割技术和Canny边缘检测算法,提出扰动面积的自动提取算法,并开发了水土保持目标监测系统。选择榆横—潍坊等特高压输变电工程沿线植被覆盖度较高的平原、山区和丘陵区分别选择8、9、7个塔基施工区,进行扰动面积的自动提取,并与传统影像分类方法最大似然法、面向对象法的提取精度进行比较。结果表明,开发的水土保持目标监测系统提取的扰动面积与现场人工实测面积相比,精度均在80%以上,明显优于传统方法。
In order to realize the rapid and effective extraction of the disturbed surface area of production and construction projects based on remote sensing images in soil and water conservation monitoring work, this paper took the power transmission and transformation project as an example for research. We proposed an automatic extraction algorithm for the disturbance area using domestic high-resolution satellites GF-2 and GF-1 and the priori information of the tower point position, which also using the Otsu threshold segmentation technology and Canny operator. A soil and water conservation target monitoring system had also been developed based on this algorithm. Experiments were carried out in the areas with high vegetation coverage along several UHV transmission and transformation projects such as Yuheng-Weifang. In plain, mountainous and hilly areas, 8, 9 and 7 tower foundation construction areas were selected for disturbance area automatic extraction. The results of the automatic extraction algorithm were also compared with the extraction results of traditional image classification methods including the maximum likelihood method and object-oriented method. The results show that the disturbance area extracted by the automatic extraction algorithm has an accuracy of over 80% compared with the field manually measured area, which is significantly better than that of the traditional methods.
作者
陈晓枫
洪倩
陈枫楠
陈婷婷
宋盼盼
戚国辉
CHEN Xiaofeng;HONG Qian;CHEN Fengnan;CHEN Tingting;SONG Panpan;QI Guohui(State Grid Economic and Technological Research Institute Co.,Ltd.,Beijing 102209,China;Unisplendour Software System Co.,Ltd.,Beijing 100084,China)
出处
《人民黄河》
CAS
北大核心
2021年第9期120-124,共5页
Yellow River
基金
国家电网公司科技项目(B3440918K004)。
关键词
水土保持
生产建设项目
扰动面积
遥感影像
Otsu阈值分割
边缘检测
soil and water conservation
production and construction projects
disturbance area
remote sensing image
Otsu threshold segmentation
edge detection
