The tradeoff analysis for remote sensing image fusion using expanded spectral angle mapper

Sensors

Volumn 8, Issue 1, 2008, Pages 520-528

  Chen, Shaohui ^a   Su, Hongbo ^a   Zhang, Renhua ^a   Tian, Jing ^a   Yang, Lihu ^a  

^a INSTITUTE OF GEOGRAPHIC SCIENCES AND NATURAL RESOURCES RESEARCH   (China)

Author keywords

Expanded Spectral Angle Mapper (ESAM); Image fusion; Spatial improvement; Spectral preservation; Tradeoff analysis

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; IMAGE RESOLUTION; REMOTE SENSING;

IMAGE FUSION TECHNIQUES; LOW RESOLUTION MULTISPECTRAL IMAGES; MINIMIZATION PROBLEMS; MULTISPECTRAL IMAGES; REMOTE SENSING IMAGES; SPATIAL IMPROVEMENT; SPECTRAL ANGLE MAPPERS; TRADE-OFF ANALYSIS;

IMAGE FUSION;

EID: 40849127113     PISSN: 14243210     EISSN: 14248220     Source Type: Journal    
DOI: 10.3390/s8010520     Document Type: Article

References (14)

1. Wang, Z. J.; Ziou, D.; Armenakis, C.; Li, D. R.; Li, Q. Q. A comparative analysis of image fusion methods. IEEE Trans. Geosci. Remote Sens. 2005, 6, 1391-1402.
2. Otazu, X.; González-Audícana, M.; Fors, O.; Nunez, J. Introduction of sensor spectral response into image fusion methods. Application to Wavelet-Based Methods. IEEE Trans. Geosci. Remote Sens. 2005, 10, 2376-2385.
3. Núñez, J.; Otazu, X.; Fors, O.; Prades, A.; Palà, V.; Arbiol, R. Multiresolution-based image fusion with additive wavelet decomposition. IEEE Trans. Geosci. Remote Sens. 1999, 3, 1204-1211.
4. Pohl, C.; Van Genderen, J. L. Multi-sensor image fusion in remote sensing: Concepts, methods, and applications. Int. J. Remote Sens. 1998, 5, 823-854.
5. Chen, S. H.; Su, H. B.; Zhang, R. H. Feature space and measure metric for fusing multisensor images. Int. J. Remote Sens., in press.
6. Chavez, P. S.; Bowell, J. A. Comparison of the spectral information content of Landsat thematic mapper and SPOT for three different sites in the Phoenix, Arizona region. Photogramm. Eng. Remote Sens. 1988, 12, 1699-1708.
7. Liu, J. G. Smoothing filter-based intensity modulation: a spectral preserve image fusion technique for improving spatial details. Int. J. Remote Sens. 2000, 18, 3461-3472.
8. Choi, M. A New Intensity-Hue-Saturation Fusion Approach to Image Fusion With a Tradeoff Parameter. IEEE Trans. Geosci. Remote Sens. 2006, 6, 1672-1682.
9. Alparone, L.; Baronti, S.; Garzelli, A.; Nencini, F. Landsat ETM+ and SAR image fusion based on generalized intensity modulation. IEEE Trans. Geosci. Remote Sens. 2004, 12, 2832-2839.
10. Aiazzi, B.; Alparone, L.; Baronti, S.; Garzelli, A. Context-Driven Fusion of High Spatial and Spectral Resolution Images Based on Oversampled Multiresolution Analysis. IEEE Trans. Geosci. Remote Sens. 2002, 10, 2300-2311.
11. Wang, Z.; Bovik, A. C. A universal image quality index. IEEE Signal Process. Lett. 2002, 3, 81-84.
12. Mallat, S. A theory for multi-resolution signal: The wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell. 1989, 7, 674-693.
13. Dutilleux, P. An implementation of the "algorithme à trous" to compute the wavelet transform, in Wavelets: Time-Frequency Methods and Phase Space 1989, J. M. Combes, A. Grossman, and Ph. Tchamitchian, Eds. Berlin, Germany: Springer-Verlag, 298-304.
14. Chen, S. H.; Su, H. B.; Zhang, R. H.; Tian J.; Yang, L. H. Fusing remote sensing images using à trous wavelet transform and empirical mode decomposition. Pattern Recognition letters 2008, 29, 330-342.