NDLI: A New Prompt Algorithm for Removing Bowtie Effect of MODIS L1B Data

Content Provider	IEEE Xplore Digital Library
Author	Liu, Liangming Wen, Xiongfei Dong, Xinyi Dai, Qiangling
Copyright Year	2008
Abstract	A new algorithm for removing Bowtie effect of Moderate resolution Imaging Spectrometer (MODIS) data without utilizing the ephemeris data is proposed in this paper. Based on a thoroughly study of the observation characteristics of MODIS, and a comprehensive comparison and evaluation among the existing algorithms for removing Bowtie effect, the new algorithm is derived with correlation coefficient method from the disciplinarian exhibited by the experiments in China, United States and Australia (mainly with MODIS data of 500 meters resolution), it turned out a second order polynomial describes the disciplinarian well. The results demonstrate that, without ephemeris data, the new algorithm is able to eliminate the Bowtie effect of MODIS L1B data effectively with no information lost.
Starting Page	663
Ending Page	667
File Size	812118
Page Count	5
File Format	PDF
ISBN	9780769531199
DOI	10.1109/CISP.2008.404
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Strips Image edge detection Sensor phenomena and characterization Remote Sensing MODIS Sensor arrays EOS/MODIS Image sensors Earth Bowtie effect Signal processing algorithms Detectors Correlation coefficient method Polynomials Curve fitting
Content Type	Text
Resource Type	Article

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