Convective Cell Tracking through Deep Learning based Computer Vision | Python-Based Algorithm for Identification & Tracking of Convective Cells using Doppler Weather Radar Reflectivity Images

S. V. Ranganayakulu (u. a.)

ISBN 10: 6203194816 / ISBN 13: 9786203194814

Published by LAP LAMBERT Academic Publishing, 2020

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Convective Cell Tracking through Deep Learning based Computer Vision | Python-Based Algorithm for Identification & Tracking of Convective Cells using Doppler Weather Radar Reflectivity Images | S. V. Ranganayakulu (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786203194814 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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Bibliographic Details

• Title: Convective Cell Tracking through Deep Learning based Computer Vision | Python-Based Algorithm for Identification & Tracking of Convective Cells using Doppler Weather Radar Reflectivity Images
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2020
• Language: English
• ISBN 10: 6203194816
• ISBN 13: 9786203194814
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 5D millimeters 220 millimeters width by 150 millimeters height by 5 millimeters depth
• Weight: 131 grams
• Seller catalogs:
  • Bücher

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Synopsis

The present study developed an autonomous algorithm for the Convective cell Identification and TRAcking (CITRA) using DWR reflectivity images. The CITRA algorithm is implemented in Python using Deep learning technique of Neural Networks. Optical Character Recognition is used in the present study through "Tesseract" which is an unsupervised Neural Network module based on LSTM which analyses the input dimensional pixel array/image and outputs high-level strings. The algorithm runs through the DWR reflectivity image pixel values and recognizes the intensities of the pixels (>=30 dB) and segregates convective cells along with other estimated cell properties such as centroid of the storm, the area covered, distance and direction from the radar centre. The performance of CITRA algorithm was tested on different convective storms and it could successfully identify and track them along with other physical properties of the convective cells. Further, we have demonstrated the potential application of CITRA algorithm on the evolution of convective cells detected within the radar range. Presently, CITRA algorithm takes only reflectivity images as a single input parameter.