DocumentCode
2158745
Title
A New Prompt Algorithm for Removing Bowtie Effect of MODIS L1B Data
Author
Liu, Liangming ; Wen, Xiongfei ; Dong, Xinyi ; Dai, Qiangling
Volume
4
fYear
2008
fDate
27-30 May 2008
Firstpage
663
Lastpage
667
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.
Keywords
Detectors; Earth; Image edge detection; Image sensors; MODIS; Polynomials; Sensor arrays; Sensor phenomena and characterization; Signal processing algorithms; Strips; Bowtie effect; Correlation coefficient method; Curve fitting; EOS/MODIS; Remote Sensing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location
Sanya, China
Print_ISBN
978-0-7695-3119-9
Type
conf
DOI
10.1109/CISP.2008.404
Filename
4566735
Link To Document