A Survey of Remote Sensing Image Enhancement using Pixel Level Fusion

  • Ms. Priyanka S. Tondewad


Remote sensing image enhancement and processing is emerging area as it has demanding applications in land cover, land classification, precision agriculture and environmental monitoring fields. It becomes necessity to have high spatial, spectral and temporal resolution for further processing and use. As remotely sensed images may get affected by many physical factors, position of airborne and specifications of the sensors used, it’s difficult to have very high spatial and spectral resolution in same image, it’s always been a tradeoff. The fused image is expected to incorporate the high spatial and spectral resolution components of input images. High spectral resolution is required for accurate description of texture and shapes. In this article author reviews state-of-art pixel level fusion methods for remotely sensed multi-sensor images and parameters used for subjective and objective evaluation. Though ample amount of research has been done and going on in this field, attention needs to be given to the registration process and to preserve the important information from original multi-sensor input images.

Keywords: Remote Sensing Image, Image registration, Panchromatic Image (PAN), Multispectral Image (MS), Pixel level fusion.


1] Xavier Otazu, María González-Audícana, Octavi Fors, and Jorge Núñez, “Introduction of Sensor Spectral Response Into Image Fusion Methods. Application to Wavelet-Based Methods”, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 43, NO. 10, OCTOBER 2005.
2] C. POHL, andJ.L.VANGENDEREN, “Multisensor Image Fusion in Remote Sensing: Concepts, Methods and Applications”, int.j.remotesensing, 1998, vol. 19, no. 5, 823± 854.
3] Ranchin T., Aiazzi B., Alparone L., Baronti S., Wald L., 2003. Image fusion. The ARSIS concept and some successful implementation schemes. ISPRS Journal of Photogrammetry & Remote Sensing, 58, 4-18.
4] PAOLO GAMBA, Guest Editor , JOCELYN CHANUSSOT, Guest Editor, “Guest Editorial Foreword to the Special Issue on Data Fusion”, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 46, NO. 5, MAY 2008.
5] Vif fala K. Shef t igara2 Centre for Remote Sensing, University of New South Wales, P. 0. Box 1, Kensington, NSW 2033, Australia, Practical Paper “A Generalized Component Substitution Technique for Spatial Enhancement of ~ultispectral lmages Using a Higher Resolution Data Set1”, PHOTOGRAMMETRIC ENGINEERING & REMOTE SENSING, Vol. 58, No. 5, May 1992, pp. 561-567.
6] Y. Zhang, G. Hong / Information Fusion 6 (2005) 225–234 “An IHS and wavelet integration approach to improve pan-sharpening visual quality of natural color IKONOS and QuickBird images” , 1566-2535/$ - see front matter 2004 Elsevier B.V. All rights reserved. doi:10.1016/j.inffus.2004.06.009
28 Views | 25 Downloads
How to Cite
Tondewad, M. P. (2018). A Survey of Remote Sensing Image Enhancement using Pixel Level Fusion. Asian Journal For Convergence In Technology (Founded by ISB &M School of Technology )), 4(I). https://doi.org/10.33130/asian journals.v4iI.524
Electronics and Telecommunication