MODIS数据Bowtie效应快速消除算法研究

THE APPROACH ON REMOVING THE BOWTIE EFFECT IN MODIS L1B IMAGES

Bowtie效应是EOS/MODIS L1B级图像数据的一个几何畸变问题,虽然目前已经提出了几种消除方法,但在计算效率和实际应用等方面还有许多限制。本文在分析国内外消除Bowtie效应的基本原理和算法的基础上,在不用星历表数据的前提下,对中国、美国和澳大利亚及其周边地区数据进行了实验,找出了这些地区Bowtie效应的规律,提出了一种简单有效的消除算法。实验结果表明,该算法可以在不使用星历表数据情况下快速有效地消除Bowtie效应。

The Bowtie effect is a kind of geometry distortions of the EOS/MODIS L1B data. Although several methods have been proposed to eliminate the Bowtie effect, there exist many limitations in their efficiency and practical application. This paper makes a thorough research on the factors which result in the Bowtie effect. With a comprehensive comparison and evaluation of the existing algorithms for eliminating the Bowtie effect all over the world, the paper offers a new algorithm which is succinct and effective in eliminating the Bowtie effect without utilizing the ephemeris data. The new algorithm is derived from the regularity shown by the experiments made in China, the USA and Australia （mainly with MODIS data of 500 m resolution）. The examination results demonstrate that, without ephemeris data, the new algorithm is capable of removing the Bowtie effect of MODIS L1B data effectively and rapidly.