Analysis of Sea Surface Temperature Maps Via Topological Machine Learning
2023 IX International Conference on Information Technology and Nanotechnology (ITNT)(2023)
摘要
Computational methods to leverage topological features occurring in signals and images are currently one of the most innovative trends in applied mathematics. In this paper a pipeline of topological machine learning is applied to the challenging task of classifying four specific marine mesoscale patterns from remote sensing data, i.e., Sea Surface Temperature maps of the southwestern region of the Iberian Peninsula. Our preliminary study achieves an accuracy of 56% in the 4-label classification. Such results are encouraging, especially considering that the data are affected by noise and that there are low-quality/missing data. Also, the paper devises directions for future improvements.
更多查看译文
关键词
topological data analysis,machine learning,image classification,temperature map,remote sensing,digital image,3D point cloud,computational topology,upwelling classification
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要