Multitemporal and multiresolution fusion of wide field of view and high spatial resolution images through morphological pyramid

Florence Laporterie-Dejean; Guy Flouzat; Erick Lopez-Ornelas

doi:10.1117/12.565113

10 November 2004 Multitemporal and multiresolution fusion of wide field of view and high spatial resolution images through morphological pyramid

Florence Laporterie-Dejean, Guy Flouzat, Erick Lopez-Ornelas

Author Affiliations +

Proceedings Volume 5573, Image and Signal Processing for Remote Sensing X; (2004) https://doi.org/10.1117/12.565113
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

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).

Citation Download Citation

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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