Abstract
This paper presents the morphological pyramid concept, a new approach which can be used for both image analysis and fusion in remote sensing.
After a review on multi-sources images fusion methods in Earth observation from space, the morphological pyramid is presented. Its properties are described and then the principle of spatial and temporal fusion of remotely sensed images is shown through two examples. The first one deals with multi-date images, the second one combines in an original way two types of images coming from two sensors onboard the same satellite SPOT 4: the HRVIR one provides high resolution images (10 or 20 m) but coarse temporal frequency, and the VEGETATION sensor provides high frequency images with coarse spatial resolution (1 km). Finally, exploitation and analysis of merged images through the pyramid are shown.
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