Articles | Volume 16, issue 19
https://doi.org/10.5194/amt-16-4571-2023
https://doi.org/10.5194/amt-16-4571-2023
Research article
 | 
12 Oct 2023
Research article |  | 12 Oct 2023

Segmentation of polarimetric radar imagery using statistical texture

Adrien Guyot, Jordan P. Brook, Alain Protat, Kathryn Turner, Joshua Soderholm, Nicholas F. McCarthy, and Hamish McGowan

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Cited articles

Berenguer, M., Sempere-Torres, D., Corral, C., and Sánchez-Diezma, R.: A Fuzzy Logic Technique for Identifying Nonprecipitating Echoes in Radar Scans, J. Atmos. Ocean. Tech., 23, 1157–1180, https://doi.org/10.1175/JTECH1914.1, 2006. 
Brook, J. P., Protat, A., Soderholm, J. S., Warren, R. A., and McGowan, H.: A Variational Interpolation Method for Gridding Weather Radar Data, J. Atmos. Ocean. Tech., 39 1633–1654, https://doi.org/10.1175/JTECH-D-22-0015.1, 2022. 
Chandrasekar, V., Keränen, R., Lim, S., and Moisseev, D.: Recent advances in classification of observations from dual polarization weather radars, Atmos. Res., 119, 97–111, https://doi.org/10.1016/j.atmosres.2011.08.014, 2013. 
Chitalia, R. D. and Kontos, D.: Role of texture analysis in breast MRI as a cancer biomarker: a review, J. Magn. Reson. Imaging, 49, 927–938, https://doi.org/10.1002/jmri.26556, 2019. 
Clausi, D. A. and Jernigan, M. E.: A fast method to determine co-occurrence texture features, IEEE T. Geosci. Remote, 36, 298–300, https://doi.org/10.1109/36.655338, 1998. 
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We propose a new method that should facilitate the use of weather radars to study wildfires. It is important to be able to identify the particles emitted by wildfires on radar, but it is difficult because there are many other echoes on radar like clear air, the ground, sea clutter, and precipitation. We came up with a two-step process to classify these echoes. Our method is accurate and can be used by fire departments in emergencies or by scientists for research.