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Review article Multisensor image fusion in remote sensing: Concepts, methods and applications
Open accessAbstract
With the availability of multisensor, multitemporal, multiresolution and multifrequency image data from operational Earth observation satellites the fusion of digital image data has become a valuable tool in remote sensing image evaluation. Digital image fusion is a relatively new research field at the leading edge of available technology. It forms a rapidly developing area of research in remote sensing. This review paper describes and explains mainly pixel based image fusion of Earth observation satellite data as a contribution to multisensor integration oriented data processing.
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Cited by
A survey of image classification methods and techniques for improving classification performance
Lu, D., & Weng, Q. (2007) · International Journal of Remote Sensing · doi:10.1080/01431160600746456 · Cited by 3,402
Remote sensing image fusion using the curvelet transform
Nencini, F., Garzelli, A., Baronti, S., & Alparone, L. (2007) · Information Fusion · doi:10.1016/j.inffus.2006.02.001 · Cited by 788
A Sparse Image Fusion Algorithm With Application to Pan-Sharpening
Zhu, X. X., & Bamler, R. (2013) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2012.2213604 · Cited by 438
Zhan, W., Chen, Y., Zhou, J., Wang, J., Liu, W., Voogt, J., Zhu, X., Quan, J., & Li, J. (2013) · Remote Sensing of Environment · doi:10.1016/j.rse.2012.12.014 · Cited by 371
Wang, K., Franklin, S. E., Guo, X., & Cattet, M. (2010) · Sensors · doi:10.3390/s101109647 · Cited by 320
Metadata
- Authors
- Pohl, C., & Van Genderen, J. L.
- Venue
- International Journal of Remote Sensing
- Publisher
- Informa UK Limited
- Published
- 1998-01
- Volume
- 19
- Issue
- 5
- Pages
- 823-854
- ISSN
- 0143-1161 (ISSN-L)
- 1366-5901
- OpenAlex
- W2105090634
- Cited by
- 2,211
- References
- 0
- FWCI
- 67.30
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Pohl, C., & Van Genderen, J. L. (1998). Review article Multisensor image fusion in remote sensing: Concepts, methods and applications. International Journal of Remote Sensing. https://doi.org/10.1080/014311698215748
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