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首页|期刊导航|湖泊科学|几何校正对暗像元算法及离水辐亮度反演精度的影响:以太湖为例

几何校正对暗像元算法及离水辐亮度反演精度的影响:以太湖为例

陈军 付军 孙记红

湖泊科学2011,Vol.23Issue(1):89-94,6.
湖泊科学2011,Vol.23Issue(1):89-94,6.

几何校正对暗像元算法及离水辐亮度反演精度的影响:以太湖为例

Influences of geometric correction on the accuracy of dark pixel atmospheric correction algorithm and water leaving irradiance retrieval: a case study of Lake Taihu

陈军 1付军 2孙记红1

作者信息

  • 1. 国土资源部海洋油气资源与环境地质重点实验室,青岛,266071
  • 2. 青岛海洋地质研究所,青岛,266071
  • 折叠

摘要

Abstract

The pixel values would be different before and behind the geometric correction, which would lead to the different irradiance of dark pixel before and behind the geometric correction.Regarding the Lake Taihu as the study area and using the Landsat/ TM, CBERS and HJ-1B satellite imageries, data collected at October 28, 2003, July 24, 2008 and April 25, 2009, respectively, as the data foundation, the paper researched and discussed the influences of geometric correction on the accuracy of dark pixel atmospheric correction algorithm and water leaving irradiance retrieval production.The results showed that the geometric correction would caused to 0.2,0.47, 0.882 W/( m2·sr·μm) irradiance absolute deviations of dark pixel for Landsat/TM, CBERS and HJ1B satellite imageries, respectively.There were 3.28% -9.81% relative biases for aerosol optical thickness estimated from the dark pixel algorithm.The influences of geometric correction would be relatively smaller on the Landsat/TM and CBERS imageries ( relative bias mainly about 0 -6% ), and relatively larger on the HJ-1 B satellite imagery( relative bias mainly about 0 - 15% , and some regions up to 40% ).As a result, it was well known that the atmospheric correction must be calculated before the geometric correction.

关键词

几何校正/大气校正/暗像元/离水辐亮度/太湖

Key words

Geometric correction/ atmospheric correction/ dark pixel/ water leaving irradiance/ Lake Taihu

引用本文复制引用

陈军,付军,孙记红..几何校正对暗像元算法及离水辐亮度反演精度的影响:以太湖为例[J].湖泊科学,2011,23(1):89-94,6.

基金项目

国家科技支撑计划十一五项目(2008BAC34B03)和中国海陆地质地球物理系列图项目(GZH200900504)联合资助. (2008BAC34B03)

湖泊科学

OA北大核心CSCDCSTPCD

1003-5427

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