Unifying Technique for Multisource Remote Sensing Images | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 23, Issue 6, September 2012, Pages 125-136 | ||
| Author | ||
| Firas Abdulrazzaq Hadi | ||
| Abstract | ||
| Data fusion is the process of putting together information obtained from many heterogeneous sensors. Data fusion research focus on the development of novel sensor-centric data fusion models appropriate to fusion of disparate range and image data, with complex information. In this research, many fusion techniques have been used to improve small scale (low resolution) remotely sensed images, and renewing the information by considering that the large scale (high resolution) images are newer than the restored image. The fusion methods used are: - Fusion techniques based on wavelet transformations; The Haar and the Tap 3/5 wavelet transformations have been adopted and used with several transformation levels. - Three color transformation methods are, also, used to improve the lower scale remotely sensed scenes; The HLS, Lab, and YUV color transformation algorithms have been adopted for the unification purposes. Inverse color transformation then implemented to reconstruct the enhanced scenes | ||
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