Automated Coastline Extraction Using Edge Detection Algorithms
Computer Vision and Pattern Recognition
2024-05-21 v1 Machine Learning
Image and Video Processing
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.
Cite
@article{arxiv.2405.11494,
title = {Automated Coastline Extraction Using Edge Detection Algorithms},
author = {Conor O'Sullivan and Seamus Coveney and Xavier Monteys and Soumyabrata Dev},
journal= {arXiv preprint arXiv:2405.11494},
year = {2024}
}