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

Ranganayakulu, S. V.; Subrahmanyam, K. V.; Niranjan, Akella

Softcover

ISBN 10: 6203194816 ISBN 13: 9786203194814

Verlag: LAP LAMBERT Academic Publishing, 2020

Inhaltsangabe

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.

Details zur Ausgabe

• Verlag: LAP LAMBERT Academic Publishing
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 6203194816
• ISBN 13: 9786203194814
• Einband: Tapa blanda
• Anzahl der Seiten: 76
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Nicht verfügbar