Share Email Print

Proceedings Paper

Multitemporal and multiresolution fusion of wide field of view and high spatial resolution images through morphological pyramid
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper 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).

Paper Details

Date Published: 10 November 2004
PDF: 12 pages
Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); doi: 10.1117/12.565113
Show Author Affiliations
Florence Laporterie-Dejean, Ctr. National d'Etudes Spatiales (France)
Guy Flouzat, Univ. Paul Sabatier (France)
Erick Lopez-Ornelas, Univ. Paul Sabatier (France)

Published in SPIE Proceedings Vol. 5573:
Image and Signal Processing for Remote Sensing X
Lorenzo Bruzzone, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?