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Proceedings Paper

Spatial-based feature extraction for estimating radial wind speed in Doppler radar spectra
Author(s): Punya Thitimajshima; Yuttapong Rangsanseri
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Paper Abstract

The power density spectra of wind profile are usually contaminated by persistent ground clutter. The radial wind speed estimated in such spectral data can produce a considerable error if each spectrum is processed independently. For the clutter-elimination purpose, we propose an algorithm for estimating radial wind speed that takes into account a spatial relationship within range-gated spectra. The candidates for the atmospheric echo in each spectrum are firstly determined by detecting all local power density maxima in the smoothed and normalized spectra. The spatial relationship is then exploited by linking those local maxima across gates, with respect to a continuity criterion. A number of features can be extracted from each candidate and a neural network is subsequently used to identify the local maximum most likely reflecting the radial atmospheric velocity.

Paper Details

Date Published: 19 August 1998
PDF: 5 pages
Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); doi: 10.1117/12.319498
Show Author Affiliations
Punya Thitimajshima, King Mongkut's Institute of Technology Ladkrabang (Thailand)
Yuttapong Rangsanseri, King Mongkut's Institute of Technology Ladkrabang (Thailand)

Published in SPIE Proceedings Vol. 3503:
Microwave Remote Sensing of the Atmosphere and Environment
Tadahiro Hayasaka; Dong Liang Wu; Yaqiu Jin; JingShang Jiang, Editor(s)

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