Examination of image fusion using synthetic variable ratio (SVR) technique

International Journal of Remote Sensing

Volumn 28, Issue 15, 2007, Pages 3413-3424

  Rahman, M M ^a,b   Csaplovics, E ^a  

^a DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^b Bangladesh Space Research and Remote Sensing Organization SPARRSO   (Bangladesh)

Author keywords

[No Author keywords available]

Indexed keywords

COLOR IMAGE PROCESSING; LANDFORMS; RADIOMETRY; SATELLITE IMAGERY;

IMAGE COLOUR; SYNTHETIC VARIABLE RATIO;

IMAGE FUSION;

IMAGE ANALYSIS; IMAGE PROCESSING; IRS (SATELLITE); LANDSAT THEMATIC MAPPER;

ASIA; BANGLADESH; EURASIA; SOUTH ASIA;

EID: 34547659992     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160600993405     Document Type: Article

References (17)

1. Carper, W. J., Lillesand, T. M. and Kiefer, R. W. (1990) The use of Intensity-Hue-Saturation transformations for merging SPOT panchromatic and multispectral image data. Photogrammetric Engineering and Remote Sensing, 56, pp. 459-467.
2. Chavez, P. S. Jr. (1989) Radiometric calibration of Landsat Thematic Mapper multispectral images. Photogrammetric Engineering and Remote Sensing, 55, pp. 1289-1294.
3. Chavez, P. S. Jr. (1996) Image-based atmospheric corrections - revisited and revised. Photogrammetric Engineering and Remote Sensing, 62, pp. 1025-1036.
4. Chavez, P. S. Jr., Sides, S. C. and Anderson, J. A. (1991) Comparison of three different methods to merge multiresolution and multispectral data: Landsat TM and SPOT panchromatic. Photogrammetric Engineering and Remote Sensing, 57, pp. 295-303.
5. Ehlers, M. (1991) Multisensor image fusion techniques in remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 46, pp. 19-30.
6. Grasso, D. N. (1993) Applications of the IHS color transformation for 1: 24 000-scale geologic mapping: A low cost SPOT alternative. Photogrammetric Engineering and Remote Sensing, 59, pp. 73-80.
7. Meer, F. V. D. (1997) What does multisensor image fusion add in terms of information content for visual interpretation?. International Journal of Remote Sensing, 18, pp. 445-452.
8. Munechika, C. K., Warnick, J. S., Salvaggio, C. and Schott, J. R. (1993) Resolution enhancement of multispectral image data to improve classification accuracy. Photogrammetric Engineering and Remote Sensing, 59, pp. 67-72.
9. Pradines, D. (1986) Improving SPOT images size and multispectral resolution: Proceedings of the S.P.I.E. Earth Remote Sensing using the Landsat Thematic Mapper and SPOT Systems, 660, pp. 98-102.
10. Price, J. C. (1997) Combining panchromatic and multispectral imagery from dual resolution satellite instruments. Remote Sensing of Environment, 21, pp. 119-128.
11. Ray, S. S. (2004) Merging of IRS LISS III and pan data-evaluation of various methods for a predominantly agricultural area. International Journal of Remote Sensing, 25, pp. 2657-2664.
12. Saroglu, E., Bektas, F., Musaoglu, N. and Goksel, C. (2004) Fusion of multisensor remote sensing data: Assessing the quality of resulting Images. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
13. Schott, J. R. (1997) Remote sensing: The Image Chain Approach, Oxford University Press, New York
14. Suits, G., Malila, W. and Weller, T. (1988) Procedures for using signals from one sensor as substitutes for signals of another. Remote Sensing of Environment, 25, pp. 395-408.
15. Wald, L., Ranchin, T. and Mangolini, M. (1997) Fusion of satellite images of different spatial resolutions: Assessing the quality of resulting images. Photogrammetric Engineering and Remote Sensing, 63, pp. 691-699.
16. Welch, R. and Ehlers, M. (1987) Merging multiresolution SPOT HRV and Landsat TM data. Photogrammetric Engineering and Remote Sensing, 53, pp. 301-303.
17. Zhang, Y. (1999) A new merging method and its spectral and spatial effects. International Journal of Remote Sensing, 20, pp. 2003-2014.