海洋调查与观测

西沙群岛岛礁区域WorldView-2影像大气校正

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  • 1. 中山大学地理科学与规划学院, 广东 广州510275; 2. 国家海洋局南海海洋工程勘察与环境研究院, 广东 广州510300; 3. 珠江水利科学研究院, 广东 广州 510611; 4. 吉首大学城乡资源与规划学院, 湖南 张家界 427000
陈启东(1983~), 男, 安徽省庐江县人, 博士生, 主要从事海洋遥感研究。E-mail: leqiao7@163.com

收稿日期: 2012-11-06

  修回日期: 2013-08-21

  网络出版日期: 2014-05-30

基金资助

国家自然科学基金项目(41071230、41301452); 海洋公益性行业科研专项经费项目(201205040); 国家科技支撑计划项目(2012BAH32B00); 广东省科技计划项目(2011A011301001)

Atmospheric correction of WorldView-2 data for the Xisha Islands and reefs imagery

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  • 1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China; 2. South China Sea Marine Engineering and Environment Institute, South China Sea branch, State Oceanic Administration, Guangzhou 510300, China; 3. Pearl?River Hydraulic?Research?Institute, Guangzhou 510611, China; 4. College of Resources and Planning Science, Jishou University, Zhangjiajie 427000, China

Received date: 2012-11-06

  Revised date: 2013-08-21

  Online published: 2014-05-30

摘要

高空间分辨率WorldView-2多波段影像方法在岛礁遥感监测方面应用潜力很大, 但大气校正精度对其定量化应用有着重要影响。文章针对海洋遥感中WorldView-2影像大气校正的问题, 改进传统的暗目标校正方法, 以清、深海水和岛屿纯浓密植被作为暗目标, 对西沙群岛岛礁区域进行应用示范, 实现了各波段的大气校正。结果显示, 该方法得到的结果无论从光谱形状还是地物反射率值, 大气校正前后反射率值与现场实测值都能够较好吻合。

本文引用格式

陈启东, 邓孺孺, 陈蕾, 秦雁, 何颖清, 田建林 . 西沙群岛岛礁区域WorldView-2影像大气校正[J]. 热带海洋学报, 2014 , 33(3) : 88 -94 . DOI: 10.11978/j.issn.1009-5470.2014.03.013

Abstract

The high-resolution multi-band data of WorldView-2 has a great potential in monitoring islands and underwater reefs using remote sensing technology. The precision of atmospheric correction is an important and necessary procedure for quantitative application of such data. This study illustrates an effective atmospheric correction method of WorldView-2 images for marine applications, which is based on the traditional dark-object subtraction technique. Atmospheric correction was performed by selecting and extracting the deep clear water and dense vegetation of islands, respectively, as dark target pixels. Using the Xisha Islands and reefs as a study area, the WorldView-2 eight-band imagery was applied to calculate aerosol parameters, and the actual surface reflectance was obtained. In order to verify the results, we compared the retrieved reflectance with the original reflectance and field measurement data. The comparison shows that the computed reflectance was close to the situ measurement data in terms of both spectral shape and reflectance value??.
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