Spatial-based feature extraction for estimating radial wind speed in Doppler radar spectra

Punya Thitimajshima; Yuttapong Rangsanseri

doi:10.1117/12.319498

19 August 1998 Spatial-based feature extraction for estimating radial wind speed in Doppler radar spectra

Punya Thitimajshima, Yuttapong Rangsanseri

Proceedings Volume 3503, Microwave Remote Sensing of the Atmosphere and Environment; (1998) https://doi.org/10.1117/12.319498
Event: Asia-Pacific Symposium on Remote Sensing of the Atmosphere, Environment, and Space, 1998, Beijing, China

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.

Citation Download Citation

Punya Thitimajshima and Yuttapong Rangsanseri "Spatial-based feature extraction for estimating radial wind speed in Doppler radar spectra", Proc. SPIE 3503, Microwave Remote Sensing of the Atmosphere and Environment, (19 August 1998); https://doi.org/10.1117/12.319498

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KEYWORDS

Doppler effect

Neural networks

Radar

Feature extraction

Detection and tracking algorithms

Smoothing

Atmospheric sensing

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