http://iet.metastore.ingenta.com
1887

Fusion of panchromatic and multispectral images using temporal Fourier transform

Fusion of panchromatic and multispectral images using temporal Fourier transform

For access to this article, please select a purchase option:

Buy article PDF
$19.95
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Image Processing — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Image fusion techniques can be used to enhance the resolution of multispectral (MS) image, which is helpful for categorisation, recognition as well as other decision making processes. In this paper, a new class of image fusion algorithms is proposed that decomposes images into similar and non-similar information and fuses the corresponding non-similar one. It is based on temporal Fourier analysis. The details of panchromatic (PAN) image are fused with details of MS image by eliminating their similar information which is done by high-pass filtering of their temporal Fourier transform. The cut-off frequency of this filtering is obtained adaptively based on the input MS and PAN images. It results in minimum spectral and spatial distortion. The experimental results demonstrate the superior performance of the proposed method

References

    1. 1)
      • Haydn, R., Dalke, G.W., Henkel, J., Bare, J.E.: `Application of HIS color transform to the processing of multisensor data and image enhancement', Proc. Int. Symp. on Remote Sensing of Arid and Semi-Arid Lands, 1982, Cairo, Egypt, p. 599–616.
    2. 2)
      • J.W. Carper , T.M. Lillesand , R.W. Kiefer . The use of intensity–hue–saturation transformations for merging SPOT panchromatic and multispectral image data. Photogramm. Eng. Remote Sens. , 459 - 467
    3. 3)
      • C. Pohl , J.L.V. Genderen . Multisensor image fusion in remote sensing: concepts, methods and applications. Int. J. Remote Sens. , 823 - 854
    4. 4)
      • P.S. Chavez , S.C. Sides , J.A. Anderson . Comparison of three different methods to merge multiresolution and multispectral data: landsat TM and SPOT panchromatic. Photogramm. Eng. Remote Sens. , 3 , 295 - 303
    5. 5)
      • M. Ehlers . Multisensor image fusion techniques in remote sensing. ISPRS J. Photogramm. Remote Sens. , 311 - 316
    6. 6)
      • V.K. Shettigara . A generalized component substitition technique for spatial enhacement of multispectral images using a higher resolution data set. Photogramm. Eng. Remote Sens. , 561 - 567
    7. 7)
      • A.R. Gillespie , A.B. Kahle , R.E. Walker . Color enhancement of highly correlated images II. Channel ratio and chromaticity transformation technique. Remote Sens. Environ. , 3 , 343 - 365
    8. 8)
      • Pohl, C.: `Geometric aspects of multisensor image fusion for topographic map updating in the humid tropics', Int. Inst. Aerospace Surv. Earth Sci., 1996, Enschede, The Netherlands, ITC Pub. 39.
    9. 9)
    10. 10)
      • P.S. Chavez , A.Y. Kwarteng . Extracting spectral contrast in Landsat Thematic Mapper image data using selective principal component analysis. Photogramm. Eng. Remote Sens. , 3 , 339 - 348
    11. 11)
      • T. Ranchin , L. Wald . Fusion of high spatial and spectral resolution images: the ARSIS concept and its implementation. Photogramm. Eng. Remote Sens. , 1 , 49 - 61
    12. 12)
      • L. Alparone , L. Wald , J. Chanussot , C. Thomas , P. Gamba , L.M. Bruce . Comparison of pansharpening algorithms: outcome of the 2006 GRS-S data-fusion contest. IEEE Trans. Geosci. Remote Sens. , 10 , 3012 - 3021
    13. 13)
      • Denipote, J.G., Paiva, M.S.V.: `A fourier transform-based approach to fusion high spatial resolution remote sensing images', Proc. Sixth Indian Conf. on Computer Vision, Graphics & Image Processing, 16–19 December 2008, India, p. 179–186.
    14. 14)
      • R.C. Gonzalez , R.E. Woods . (1992) Digital image processing.
    15. 15)
      • C. Lin , Y. Ching . Extraction of coronary arterial tree using cine X-ray angiograms. Biomed. Eng. App. Basis Commun. , 3 , 111 - 120
    16. 16)
      • Z. Wang , D. Ziou , C. Armenakis , D. Li , Q. Li . A comparative analysis of image fusion methods. IEEE Trans. Geosci. Remote Sens. , 6 , 1391 - 1402
    17. 17)
      • M. González-Audícana , J.L. Saleta , R.G. Catalán , R. García . Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition. IEEE Trans. Geosci. Remote Sens. , 6 , 1291 - 1299
    18. 18)
      • M.M. Khan , J. Chanussot , L. Condat , A. Montanvert . Indusion: fusion of multispectral and panchromatic images using the induction scaling technique. IEEE Geosci. Remote Sens. Lett. , 1 , 98 - 102
    19. 19)
      • V.P. Shah , N.H. Younan , R.L. King . An efficient pan-sharpening method via a combined adaptive PCA approach and contourlets. IEEE Trans. Geosci. Remote Sens. , 5 , 1323 - 1335
    20. 20)
      • T. Ranchin , B. Aiazzi , L. Alparone , S. Baronti , L. Wald . Image fusion–the ARSIS concept and some successful implementation schemes. ISPRS J. Photogramm. Remote Sens. , 4 - 18
    21. 21)
      • L. Wald , T. Ranchin , M. Mangolini . Fusion of satellite images of different spatial resolution: assessing the quality of resulting images. Photogramm. Eng. Remote Sens. , 6 , 691 - 699
    22. 22)
      • Aiazzi, B., Baronti, S., Alparone, L., Garzelli, A., Nencini, F.: `Information-theoretic assessment of fusion of multispectral and panchromatic images', Ninth Int. Conf. on Inform. Fusion, 10–13 July 2006, p. 1–5.
    23. 23)
      • Aiazzi, B., Alparone, L., Baronti, S., Garzelli, A., Selva, M.: `An MTF-based spectral distortion minimizing model for pan-sharpening of very high resolution multispectral images of urban areas', Second GRSS/ISPRS Joint Workshop Remote Sens. Data Fusion over Urban Areas, 22–23 May 2003, p. 90–94.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-ipr.2009.0104
Loading

Related content

content/journals/10.1049/iet-ipr.2009.0104
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address