多空间分辨率Google Earth影像和Canny边界算法的雅丹地貌边界提取

doi:10.13474/j.cnki.11-2246.2023.0157

测绘通报 ›› 2023, Vol. 0 ›› Issue (5): 175-179.doi: 10.13474/j.cnki.11-2246.2023.0157

• 测绘地理信息技术应用案例 • 上一篇下一篇

多空间分辨率Google Earth影像和Canny边界算法的雅丹地貌边界提取

韩扬¹, 元伟涛², 赖忠平³, 程世秀¹, 刘文可¹

1. 山东省地质矿产勘查开发局第四地质大队山东省地矿局海岸带地质环境保护重点实验室, 山东潍坊 261021;
2. 潍坊学院建筑工程学院, 山东潍坊 261021;
3. 汕头大学海洋科学研究院, 广东汕头 515063

收稿日期:2022-11-03 发布日期:2023-05-31
通讯作者: 元伟涛。E-mail:yuwet@163.com
作者简介:韩扬(1988-),男,硕士,高级工程师,主要从事测绘地理信息研究。E-mail:hanyang@shandong.cn
基金资助:
山东省地矿局海岸带地质环境保护重点实验室2021年度开放基金（SYS202105）；国家自然科学基金重大二级课题（41290252）

Extraction of yardang landforms boundary based on multi-spatial resolution Google Earth image and Canny edge algorithm

HAN Yang¹, YUAN Weitao², LAI Zhongping³, CHENG Shixiu¹, LIU Wenke¹

1. Key Laboratory of Coastal Zone Geological Environment Protection, Shandong Provincial No. 4 Institute of Geological and Mineral Survey, Weifang 261021, China;
2. College of Architectural Engineering, Weifang University, Weifang 261021, China;
3. Institute of Marine Science, Shantou University, Shantou 515063, China

Received:2022-11-03 Published:2023-05-31

摘要/Abstract

摘要： 雅丹形态特征能反映雅丹地貌的发育过程和演化阶段，对研究雅丹地貌至关重要，但目前关于雅丹地貌边界提取的高精度、低成本方法很少。本文首先采用Canny边界算法，将高空间分辨率Google Earth影像（1.19 m）重采样为一系列不同空间分辨率（3、5、8、10、12、15 m）的影像；然后针对不同空间分辨率的影像提取不同大小的雅丹地貌边界；最后将不同结果合并，取得了良好的效果。结果表明：①尽管无法识别阴影，但Canny边界提取方法的总体精度为89.23%，Kappa系数为0.72，这一结果与面向对象方法的中等分割尺度（138）取得的精度结果相近；②使用Canny边界提取算法提取雅丹地貌边界中位数宽度，与影像空间分辨率呈很好的线性关系（R²=0.95），随着空间分辨率的降低，Canny边界算法提取的雅丹地貌边界总长度呈明显的对数递减（R²=0.904）。

关键词: 雅丹地貌边界提取, Google Earth 影像, Canny边界算法, 重采样

Abstract: The morphological characteristics of yardangs can reflect its development process and evolution stage, which are very important for the study of yardang landform. However, there are few high-precision and low-cost methods for boundary extraction of yardangs at present. In this paper, The Canny edge algorithm is adopted to resample high spatial resolution Google Earth image (1.19 m) to a series of different lower spatial resolutions images (3、5、8、10、12、15 m). Then yardang boundaries are extracted using Canny edge algorithm with different spatial resolution images. Finally the different results are combined together, and good results have been achieved. The results show that:①Although shadows cannot be identified, the overall accuracy of Canny edge extraction method is 89.23%, and the Kappa coefficient is 0.72, which is similar to the accuracy obtained by medium segmentation scale (138) with object-oriented method. ②Using the Canny edge extraction algorithm, the extracted median width of yardang has a good linear relationship with the spatial resolution of the image (R²=0.95). With the decrease of the spatial resolution, the total length of yardang boundary extracted by the Canny edge algorithm shows a significant logarithmic decrease (R²=0.904).

Key words: yardang landforms boundary extraction, Google Earth image, Canny edge algorithm, resampling

中图分类号:

P237

韩扬, 元伟涛, 赖忠平, 程世秀, 刘文可. 多空间分辨率Google Earth影像和Canny边界算法的雅丹地貌边界提取[J]. 测绘通报, 2023, 0(5): 175-179.

HAN Yang, YUAN Weitao, LAI Zhongping, CHENG Shixiu, LIU Wenke. Extraction of yardang landforms boundary based on multi-spatial resolution Google Earth image and Canny edge algorithm[J]. Bulletin of Surveying and Mapping, 2023, 0(5): 175-179.

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多空间分辨率Google Earth影像和Canny边界算法的雅丹地貌边界提取

Extraction of yardang landforms boundary based on multi-spatial resolution Google Earth image and Canny edge algorithm

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