计算机与数字工程2025，Vol.53Issue(1)：202-208,7.DOI:10.3969/j.issn.1672-9722.2025.01.037
多源高分辨率卫星遥感海岸线数据集
Multi-source High-resolution Satellite Remote Sensing Coastline Dataset
摘要
Abstract
As a hot academic topic,the coastline studies are able to provide wide supports to scientific planning and utiliza-tion of coast zones,marine conservations,efficient coastline managements and so on,in which coastline datasets play an important role.The paper establishes an available coastline dataset by means of high-resolution satellite remote sensing images,and this data-set indicates various advantages,namely different types of data sources,large coastline cover range,high-resolution remote sensing pictures,enormous labelled instance number and so forth.Specifically,first of all,based on four remote sensing satellites,this pa-per collects a large number of original multi-source coastline images,which are then pretreated to remove redundant picture distor-tions.In addition,by combining field surveying and visual interpretation,an efficient classification label extraction algorithm is pro-posed to obtain multisource satellite remote sensing image categories.Furthermore,by means of the designed automatic cropping method,this paper implements intelligent cutting operations to divide the whole labelled images into several small pictures,to ob-tain the useful coastline dataset called MHRSCD.Finally,a series of experiments are carried out to prove the effectiveness and prac-ticability of the established dataset by virtue of six classical deep learning network models.关键词
卫星遥感/多源/海岸线/数据集/深度学习Key words
satellite remote sensing/multi source/coastline/dataset/deep learning分类
海洋科学引用本文复制引用
曹恒硕,丁宁,钱建军,王厚军,李广宇..多源高分辨率卫星遥感海岸线数据集[J].计算机与数字工程,2025,53(1):202-208,7.基金项目
国家自然科学基金项目(编号:62006119) （编号:62006119）
江苏省基础研究计划项目(编号:BK20190444)资助. （编号:BK20190444）
