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Removing Bowtie Phenomenon by Correction of Panoramic Effect in MODIS Imagery

by A. H. Souri, A. Azizi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 3
Year of Publication: 2013
Authors: A. H. Souri, A. Azizi
10.5120/11558-6840

A. H. Souri, A. Azizi . Removing Bowtie Phenomenon by Correction of Panoramic Effect in MODIS Imagery. International Journal of Computer Applications. 68, 3 ( April 2013), 12-16. DOI=10.5120/11558-6840

@article{ 10.5120/11558-6840,
author = { A. H. Souri, A. Azizi },
title = { Removing Bowtie Phenomenon by Correction of Panoramic Effect in MODIS Imagery },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 3 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number3/11558-6840/ },
doi = { 10.5120/11558-6840 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:26:48.801371+05:30
%A A. H. Souri
%A A. Azizi
%T Removing Bowtie Phenomenon by Correction of Panoramic Effect in MODIS Imagery
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 3
%P 12-16
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The angular Instantaneous Field Of View (IFOV) of rotating mirror is constant in flying spot scanners and as a result the more area is viewed by mirror with going out of nadir condition and it will cause gradually compression of the effective pixel size at the extremities of scan line. This error is known as panoramic error that is so more sensible in sensors which have high angular Field Of View (FOV). Moderate Resolution Imaging Spectroradiometer (MODIS) sensorwith high FOV (110o) has been complicated by the so-called bow-tie effect. The source of error is panoramic distortion that is exacerbated by Earth curvature. This effect causes an overlap of the satellite scan lines producing a data repetition. Bow-tie prevents reaching both real shape and area of objects especially those that are far from the nadir and can be considered as a great systematic error especially for snow maps, dust and cloud researches. Due to lack of heeding utilization geometric source and mathematical transformations of panoramic distortion, former proposed algorithms for correction of bow-tie phenomenon were unnecessarily complicated. In this paper, a rigorous model is proposed in order to remove MODIS bowtie effect. The model is based on geometry projection of panoramic error with Earth curvature. The proposed method requires no ephemeris information and is established from the parameters of MODIS platform. The validity of the algorithm is verified by a scene including Urmia Lake in Iran. The results retrieved by the method demonstrated high both speed and accuracy.

References
  1. Salomonson, V. V. , Barnes, W. L. , Maymon, P. W. , Montgomery, H. E. , &Ostrow, H. , 1989, MODIS: advanced facility instrument for studies ofthe earth as a system,IEEE Transactions on Geoscience and RemoteSensing, 27, pp. 145–153.
  2. Robert E. Wolfe , Masahiro Nishihama , Albert J. Fleig , James A. Kuyper ,David P. Roy , James C. Storey , Fred S. Patt ,2002, Achieving sub-pixel geolocation accuracy in support of MODIS land science, Remote Sensing of Environment,83, pp. 31–49.
  3. Wolfe, R. E. , Roy, D. P. , &Vermote, E. , 1998,MODIS land data storage,gridding and compositing methodology: Level 2 Grid, IEEE Transactions on Geoscience and Remote Sensing,36, pp. 1324– 1338.
  4. John, A. Richards, Xiuping, Jia. , 2006,Remote Sensing Digital Image Analysis, (4th ed. ) New York: Springer-Verlag Berlin Heidelberg,pp. 55.
  5. Schowengerdt, R. A. , 1997,Remote sensing models and methods for image processing", (2nd ed. ), San Diego: Academic Press,pp. 100-109.
  6. National Snow and Ice Data Center, 2003,MS2GT: The MODIS Swath-to- Grid Toolbox, Available from: http://nsidc. org/data/modis/ms2gt/
  7. Gomez-Landesa, E. , Rango, A. , Bleiweiss, M. , 2004, An algorithm to address the MODIS bowtie effect, Canadian Journal of Remote Sensing, 30(4), 644-650.
  8. XuMeng, Yu Fan. , 2005,The Method of eliminating the Bowtie effect in EOS/MODIS 1B Data,ScientiaMeteorologica SINICA,25(3),pp. 257-264.
  9. GuoGuangmeng, 2003,Eliminating Bowtie effect of MODIS Data without Ephemeris, Remote Sensing Technology and Application, 18(3), pp. 172-175.
  10. R&D center ScanEx, 2004,MODIStools for ENVI, Available from:http://eostation. scanex. ru/software. html
  11. Yu Junhui, Zhang Wanchang,2004, A Method Derived from Digital Photogrammetry used Eliminated Bowtie effect in MODIS L1B Data,Application Research of computers,21 (7),pp. 239-240.
  12. Xiongfei Wen, A new prompt algorithm for removing the bowtie effect of MODIS L1b data, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing 2008, Vol. XXXVII. Part B3b.
  13. MODIS data,Availablefrom:http://ladsweb. nascom. nasa. gov/data/search. html
Index Terms

Computer Science
Information Sciences

Keywords

Bowtie effect MODIS panoramic error

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