Quality assessment of image fusion techniques for multisensor high resolution satellite images (Case study: IRS-P5 AND IRS-P6 satellite images)

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 38, Issue , 2010, Pages 204-209

  Yakhdani, M Fallah ^a   Azizi, A ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Evaluation; Fusion; IRS; Multisensor; Spatial; Spectral

Indexed keywords

EDGE DETECTION; FUSION REACTIONS; QUALITY CONTROL; REMOTE SENSING; SATELLITE IMAGERY; SATELLITES; SPECTROSCOPY;

EVALUATION; IRS; MULTI SENSOR; SPATIAL; SPECTRAL;

IMAGE FUSION;

EID: 84919973993     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Aiazzi, B., L. Alparone, S. Baronti, and A. Garzelli, 2002. Context driven fusion of high spatial and spectral resolution images based on oversampled multiresolution analysis. IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 10, pp.2300-2312.
2. Choi, M.-J, H.-C. Kim, N.I. Cho, and H.O. Kim., 2008. An Improved Intensity-Hue-Saturation Method for IKONOS Image Fusion. International Journal of Remote Senising.
3. ERDAS, 1999. On-Line Manuals version 8.4, Atlanta, Georgia.
4. Ehlers, M., Klonus, S., Åstrand, P.J., 2008. Quality assessment for multi-sensor multi-date image fusion. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4.
5. Gonzalez-Audicana, M., J.L. Saleta, and R.G. Catalan, 2004. Fusion of multispectral and panchromatic images using improved IHS and PCA mergers based on wavelet decomposition. IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 6, pp. 1204-1211.
6. Han, S.S., Li, H.T., Gu, H.Y., 2008. The study on image fusion for high spatial resolution remote sensing images. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B7.
7. Li, Z., Jing, Z., Yang, X., Sun, S., 2005. Color transfer based remote sensing image fusion using non-separable wavelet frame transform. Pattern Recognition Lett. 26 (13) (2005) 2006-2014.
8. Pohl, C., and J.L. Van Genderen, 1998. Multisensor image fusion in remote sensing: concepts, methods, and applications. International Journal of Remote Sensing, Vol. 19, pp 823-854.
9. Siddiqui, Y., 2003. The Modified IHS Method for Fusing Satellite Imagery. In: ASPRS 2003 Annual Conference Proceedings.
10. Strait, M., Rahmani, S., Markurjev, D., 2008. Evaluation of Pan-Sharpening Methods, Research Experiences for Undergraduates (REU2008).
11. Tu, T.M., P.S. Huang, C.L. Hung, and C.P. Chang, 2004. A Fast Intensity-Hue Saturation Fusion Technique with Spectral Adjustment for IKONOS Imagery. IEEE Geoscience and Remote Sensing Letters 1, pp. 309-312.
12. Wald, L., Ranchin, T., Mangolini, M., 1997. Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images. Photogrammetric Engineering and Remote Sensing, 63(6), pp. 691-699.
13. Wald, L., 2002. Data fusion - Definitions and architectures - Fusion of images of different spatial resolutions. École de Mines de Paris.
14. Xu, H.Q., 2004. Assessment of The SFIM Algorithm. Chinese Geographical Science, 14(1): pp. 48-56.
15. Zhang, Y., Hong, G., 2005. An IHS and wavelet integrated approach to improve pan-sharpening visual quality of natural colour Ikonos and QuickBird images. Information Fusion 6 (3), 225-234.