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

doi:10.13474/j.cnki.11-2246.2023.0157

Abstract

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

CLC Number:

P237

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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