期刊文献+

基于GOCI数据的绿潮覆盖面积精细化提取方法

Refined Extraction Method for Green Tide Coverage Area Based on GOCI Data
分享 导出
摘要 针对静止海洋水色卫星(geostationary ocean color imager,GOCI)数据空间分辨率较低、存在大量混合像元导致绿潮的覆盖面积偏大的问题,对GOCI数据大于NDVI(normalized difference vegetation index)阈值的像元进行混合像元分解得到绿潮(green tide)的覆盖面积,以16m分辨率高分一号提取的绿潮覆盖面积为"真值",然后建立两者之间的关系模型,并对关系模型进行了验证。 In order to solve the problems of the low spatial solution of GOCI and the larger coverage area of green tide resultingfrom a large number of mixed pixels,we acquired green tide's covering area throughdecompositionof mixing pixelswhich threshold value is larger than NDVI,and established the relationship model between the two and validated itby setting the green tide's covering area extracted by GF-1(16 m)as"true value".The experimental results suggested that the covering area extracted by the refined method,compared with traditional multi band ratio algorithm such as NDVI,was closer to the"true value"with an error of 7.2%.
作者 王法景 盛辉 苏婧 闵晓凤 WANG Fajing1,SHENG Hui1,SU Jing1,MIN Xiaofeng2( 1 School of Geosciences, China University of Petroleum, Qingdao 266580, China ;2 The First Institute of Photogrammetry and Remote Sensing, National Adminstration of Surveying, Mapping and Geoinformation, Xi'an 710054, China)
出处 《测绘地理信息》 2018年第5期24-27,共4页 Journal of Geomatics
基金 国家自然科学基金资助项目(41476159) 中央公益性科研院所基本科研业务费专项资金资助项目(2014T03)
关键词 绿潮 高分一号(16m) GOCI 混合像元分解 精细化模型 green tide GF-1 (16 m) GOCI mixed pixel decomposition refined model
作者简介 王法景.硕士研究生,主要从事摄影测量与遥感研究。E—mail:759757307@qq.com
  • 相关文献

参考文献7

二级参考文献68

共引文献138

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈