Multiresolution Image Fusion of Thematic Mapper Imagery With Synthetic Aperture Radar Imagery
AIR FORCE INST OF TECH WRIGHT-PATTERSONAFB OH SCHOOL OF ENGINEERING
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This study was designed to demonstrate the feasibility of applying multiresolution image fusion techniques to synthetic aperture radar SAR and Landsat imagery. This was accomplished through the development and application of image fusion software to test images, for the purpose of comparing results, to show that information from more than three bands can be used to study surface and subsurface features in a single image. The test images were fused using six image fusion techniques that are the combinations from three types of image decomposition algorithms ratio of low pass RoLP pyramids, gradient pyramids, and morphological pyramids and two types of fusion algorithms selection and hybrid selection and averaging. Based upon the composite images formed by fusing the test images, this study concludes that small details in city areas make morphological pyramids ineffective, selection forms of fusion do not effectively combine the data, RoLP and gradient pyramids with hybrid fusion produce the best results, and optimum pyramid depth is dependent upon the size of detail in the images.
- Active and Passive Radar Detection and Equipment
- Infrared Detection and Detectors