Automated Coastline Extraction Using Edge Detection Algorithms

• URL: http://arxiv.org/abs/2405.11494v1
• Date: Sun, 19 May 2024 09:25:55 GMT
• Title: Automated Coastline Extraction Using Edge Detection Algorithms
• Authors: Conor O'Sullivan, Seamus Coveney, Xavier Monteys, Soumyabrata Dev,
• Abstract summary: We analyse the effectiveness of edge detection algorithms for automatically extracting coastlines from satellite images. Four algorithms - Canny, Sobel, Scharr and Prewitt are compared visually and using metrics.
• Score: 2.5311562666866494
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We analyse the effectiveness of edge detection algorithms for the purpose of automatically extracting coastlines from satellite images. Four algorithms - Canny, Sobel, Scharr and Prewitt are compared visually and using metrics. With an average SSIM of 0.8, Canny detected edges that were closest to the reference edges. However, the algorithm had difficulty distinguishing noisy edges, e.g. due to development, from coastline edges. In addition, histogram equalization and Gaussian blur were shown to improve the effectiveness of the edge detection algorithms by up to 1.5 and 1.6 times respectively.

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