State-of-the-Art of Wave Measurement for Ship Motion Prediction-Reference-Cited by-同舟云学术

State-of-the-Art of Wave Measurement for Ship Motion Prediction

Published:2010-09 Issue:20 Volume:43 Page:295-300
ISSN:1474-6670
Container-title:IFAC Proceedings Volumes
language:en
Short-container-title:IFAC Proceedings Volumes

Author:

Giron-Sierra Jose M.,Jimenez Juan F.

Publisher

Elsevier BV

Subject

General Medicine

Reference59 articles.

1. 'Ocean Surface Wave Imaging from Seasat to Envisat';Alpers;IEEE Intl. Symp. Geoscience and Remote Sensing,2003

2. 'On the Detectability of Ocean Surface Waves by Real and Synthetic Aperture Radar';Alpers;J. Geophysical Research,1981

3. 'Shallow Angle Wave Profiling Lidar';Belmont;J. Atmospheric Ocean Technology,2007

4. Introduction to Sensors for Ranging and Imaging;Brooker,2009

5. 'Can Geometryc Optics Fully Describe Radar Images of the Sea Surface at Grazing Incidence?';Buckley;IEEE Intl. Symp. Geoscience and Remote Sensing,2001

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