MODIS数据Bowtie效应消除算法

MODIS数据不仅具有较高的过境频率和光谱分辨率,还具有成本低、覆盖面广等优势。受地球曲率的影响,MODIS L1B数据大多存在一种重叠效应,即Bowtie效应,主要发生在图像的边缘地带,该效应制约了MODIS遥感数据的进一步分析及应用。针对遥感影像几何畸变问题,提出一种不基于传统星历表的Bowtie效应消除算法,采用相关系数法确定每个扫描带的重复行数,根据不同分辨率的MODIS L1B数据,使用相对应的重采样方法对图像进行重采样处理。通过与其他Bowtie效应消除算法的对比实验及分析,证明该算法不仅能够有效去除Bowtie效应,而且执行速度较快,具有较高的工程应用价值。

Algorithm of Bowtie Effect Removing for MODIS Data

MODIS is multispectral remote sense data, which not only has higher transit frequency and spectral resolution, but also has the advantages of low cost, wide coverage and other advantages. Due to the effect of the earth curvature, most of the MODIS images exist an overlapping effect namely Bowtie effect, mainly occurs in the fringes of the image, which restricts the further analysis and application of MODIS remote sensing data. In view of the remote sensing image geometric distortion problem, this paper presents an algorithm of the Bowtie effect removal study without using the ephemeris, which is characterized by the use of the correlation coefficient to determine each scan with the number of duplicate rows, as well as a more effective re-sampling method is taken to different resolutions of MODIS L1B data. It demonstrates the effectiveness of the algorithm through the removal results of MODIS Bowtie effect with the results with other classic algorithms. Results show that the proposed algorithm not only can effectively remove Bowtie effect of MODIS, has a faster processing speed, but so has high engineering application value.