An IHS-based fusion for color distortion reduction and vegetation enhancement in IKONOS imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 5, 2011, Pages 1590-1602

  Chikr El Mezouar, Miloud ^a   Taleb, Nasreddine ^a   Kpalma, Kidiyo ^b   Ronsin, Joseph ^b  

^a UNIVERSITY OF SIDI BEL ABBES   (Algeria)

^b INSA DE RENNES   (France)

Author keywords

IKONOS imagery; image fusion; intensity hue saturation (IHS) transform; vegetation enhancement; vegetation index (VI)

Indexed keywords

COLOR; IMAGE ENHANCEMENT; IMAGE FUSION; REMOTE SENSING;

COLOR DISTORTIONS; DISTORTION REDUCTION; IKONOS IMAGERY; INTENSITY HUE SATURATIONS; INTENSITY-HUE-SATURATION TRANSFORMS; MULTI-SPECTRAL DATA; PANCHROMATIC DATA; VEGETATION ENHANCEMENT; VEGETATION INDEX;

VEGETATION;

COLOR; DATA SET; IKONOS; PANCHROMATIC IMAGE; SPATIAL RESOLUTION; VEGETATION INDEX; VEGETATION STRUCTURE; VISUAL ANALYSIS;

EID: 79955616352     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2010.2087029     Document Type: Article

References (30)

1. 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. 46 5 1323 1335 May 2008
2. K. Amolins Y. Zhang P. Dare Wavelet based image fusion techniques—An introduction, review and comparison ISPRS J. Photogramm. Remote Sens. 62 4 249 263 Sep. 2007
3. M. Chikr El-Mezouar N. Taleb K. Kpalma J. Ronsin A new intensity-hue-saturation fusion technique imagery with color distortion reduction for IKONOS ICGST Int. GVIP J. 9 4 53 60 Dec. 2009
4. M. Choi A new intensity-hue-saturation fusion approach to image fusion with a tradeoff parameter IEEE Trans. Geosci. Remote Sens. 44 6 1672 1682 Jun. 2006
5. K. A. Kalpoma J.-I. Kudoh Image fusion processing for IKONOS 1-m color imagery IEEE Trans. Geosci. Remote Sens. 45 10 3075 3086 Oct. 2007
6. J. Lee C. Lee A fast and efficient panchromatic sharpening IEEE Trans. Geosci. Remote Sens. 48 1 155 163 Jan. 2010
7. J. A. Malpica Hue adjustment to IHS pan-sharpened IKONOS imagery for vegetation enhancement IEEE Geosci. Remote Sens. Lett. 4 1 27 31 Jan. 2007
8. X. Otazu M. Gonzalez-Audicana O. Fors J. Nunez Introduction of sensor spectral response into image fusion methods. Application to wavelet-based methods IEEE Trans. Geosci. Remote Sens. 43 10 2376 2385 Oct. 2005
9. T. Ranchin L. Wald Fusion of high spatial and spectral resolution images: The ARSIS concept and its implementation Photogramm. Eng. Remote Sens. 66 1 49 61 Jan. 2000
10. T.-M. Tu S.-C. Su H.-C. Shyu P. S. Huang A new look at IHS-like image fusion methods Inf. Fusion 2 3 177 186 Apr. 2001
11. T.-M. Tu P. S. Huang C.-L. Hung C.-P. Chang A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery IEEE Geosci. Remote Sens. Lett. 1 4 309 312 Oct. 2004
12. T.-M. Tu H.-T. Lu Y.-C. Chang J.-C. Chang C.-P. Chang A new vegetation enhancement/extraction technique for IKONOS and QuickBird imagery IEEE Geosci. Remote Sens. Lett. 6 2 349 353 Apr. 2009
13. Y. Zhang A new automatic approach for effectively fusing Landsat 7 as well as IKONOS images Proc. IEEE/IGARSS 2429 2431 Proc. IEEE/IGARSS Toronto Canada ON 2002-Jun.
14. Y. Zhang G. Hong An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour IKONOS and QuickBird images Inf. Fusion 6 3 225 234 Sep. 2005
15. H. Chu W. Zhu Fusion of IKONOS satellite imagery using IHS transform and local variation IEEE Geosci. Remote Sens. Lett. 5 4 653 657 Oct. 2008
16. T.-M. Tu W.-C. Cheng C.-P. Chang P. S. Huang J.-C. Chang Best tradeoff for high-resolution image fusion to preserve spatial details and minimize color distortion IEEE Geosci. Remote Sens. Lett. 4 2 302 306 Apr. 2007
17. Z. Teague IKONOS pan-sharpened products evaluation High Spatial Resolution Commercial Imagery Workshop High Spatial Resolution Commercial Imagery Workshop 2001-Mar.-20
18. Y. Bentoutou N. Taleb K. Kpalma J. Ronsin An automatic image registration for applications in remote sensing IEEE Trans. Geosci. Remote Sens. 43 9 2127 2137 Sep. 2005
19. Y. Xie Z. Sha M. Yu Remote sensing imagery in vegetation mapping: A review J. Plant Ecol. 1 1 9 23 Mar. 2008
20. A. Huete C. Justice W. van Leeuwen MODIS vegetation index (MOD 13): Algorithm theoretical basis document 30 Apr. 1999 http://modis.gsfc.nasa.gov/data/atbd/land_atbd.php
21. H. Q. Liu A. Huete A feedback based modification of the NDVI to minimize canopy background and atmospheric noise IEEE Trans. Geosci. Remote Sens. 33 2 457 465 Mar. 1995
22. C. Thomas L. Wald Comparing distances for quality assessment of fused products Proc. 26th EARSeL Annu. Symp. New Develop. Challenges Remote Sens. 101 111 Proc. 26th EARSeL Annu. Symp. New Develop. Challenges Remote Sens. Warsaw Poland 2006-May
23. 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. 45 10 3012 3021 Oct. 2007
24. V. Vijayaraj A quantitative analysis of pan-sharpened images 2004 Mississippi State Univ. MS, Starkville
25. J. Zhou D. L. Civco J. A. Silander A wavelet transform method to merge Landsat TM and SPOT panchromatic data Int. J. Remote Sens. 19 4 743 757 Mar. 1998
26. R. H. Yuhas A. F. H. Goetz J. W. Boardman Discrimination among semi-arid landscape endmembers using the spectral angle mapper (SAM) algorithm Proc. Summaries 3rd Annu. JPL Airborne Geosci. Workshop 147 149 Proc. Summaries 3rd Annu. JPL Airborne Geosci. Workshop 1992
27. Y. Zheng E. A. Essock B. C. Hansen A. M. Haun A new metric based on extended spatial frequency and its application to DWT based fusion algorithms Inf. Fusion 8 2 177 192 Apr. 2007
28. L. Wald Quality of high resolution synthesized images: Is there a simple criterion? Proc. Int. Conf. Fusion Earth Data 99 105 Proc. Int. Conf. Fusion Earth Data 2000-Jan.
29. L. Alparone S. Baronti A. Garzelli F. Nencini A global quality measurement of pan-sharpened multispectral imagery IEEE Geosci. Remote Sens. Lett. 1 4 313 317 Oct. 2004
30. Z. Wang A. C. Bovik A universal image quality index IEEE Signal Process. Lett. 9 3 81 84 Mar. 2002