arxiv:2405.11494

Automated Coastline Extraction Using Edge Detection Algorithms

Published on May 19, 2024

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Abstract

Edge detection algorithms, including Canny, Sobel, Scharr, and Prewitt, are compared for coastline extraction from satellite images, with Canny showing the highest SSIM but struggling with noisy edges.

AI-generated summary

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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