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10 November 2004 Multitemporal and multiresolution fusion of wide field of view and high spatial resolution images through morphological pyramid
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Abstract
To study vegetation from space, both high spatial resolution and high temporal frequency images are needed. However, a satellite sensor, for technological reasons, cannot provide such images. But merge several kinds of images coming from several sensors enables to overgo this problem. In this article, we propose a fusion method based on pyramid algorithms and on morphological filtering to create synthesis images having both high spatial resolution and high temporal frequency. This process is validated by high resolution reference images. The study uses the ADAM database provided with courtesy of Centre National d'Etude Spatiale (CNES - French Space Agency).
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Florence Laporterie-Dejean, Guy Flouzat, and Erick Lopez-Ornelas "Multitemporal and multiresolution fusion of wide field of view and high spatial resolution images through morphological pyramid", Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); https://doi.org/10.1117/12.565113
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