基于中等分辨率遥感影像的珊瑚礁信息提取

Analysis of Classification Ability of Island Nearshore Substrate Based on Medium Resolution Remote Sensing Image

中国海域辽阔,其中南海海岛周围分布着大量的珊瑚礁。本文以西沙珊瑚岛浅水海域为研究对象,选取2015年和2018年的高分一号影像数据为数据源,应用基于统计学习原理的支持向量机(Support Vector Machine,SVM)分类方法,对珊瑚礁信息进行提取。结果表明,高分卫星影像数据对于珊瑚礁信息提取具有有效性及可行性。通过对两年影像分类结果对比分析,发现2018年珊瑚岛浅海水域珊瑚礁面积相较于2015年减少大约7.73%。

China has a vast sea area with many islands,including a large number of coral reefs around the South China Sea island.This paper takes the shallow waters of Xisha Coral Island as the research object,selects the high-resolution image data of 2015 and 2018 as the data source,and applies the support vector machine(SVM)classification method based on statistical learning principle to carry out the information of coral reefs.extract.The results show that the high-resolution satellite image data is effective and feasible for coral reef information extraction,through the comparative analysis of the results of two-year image classification,it is found that the coral reef area in the shallow waters of Coral Island in 2018 is about 7.73%lower than that in 2015.