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Title: :  Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity
PaperId: :  20428
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 3 2023
DUI:    16.0415/IJARIIE-20428
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Veena R SDayananda Sagar Academy Of Technology And Management
Abhijna K CDayananda Sagar Academy Of Technology And Management
B G ShreyasDayananda Sagar Academy Of Technology And Management
BhargaviDayananda Sagar Academy Of Technology And Management
Dhanush Gowda SDayananda Sagar Academy Of Technology And Management

Abstract

Computer Engineering
Cyclone, Intensity, Convolutional Neural Network, Keras, Tensorflow, Infrared
This paper presents a novel approach for estimating cyclone intensity using deep learning techniques on images obtained from the INSAT 3D satellite. The deep learning algorithms used in this work to analyze photos from the INSAT 3D satellite to estimate cyclone strength are innovative. The convolutional neural network (CNN) is used in the proposed method to extract information from the photos and calculate the cyclone's strength. The collection of labelled images used to train the algorithm was created by combining data from ground-based observations with remote sensing. The findings demonstrate that the suggested method achieves excellent accuracy in cyclone intensity prediction and outperforms conventional methods for estimating cyclone intensity. Cyclone intensity estimation is essential for disaster management and early warning systems, and the suggested approach has the potential to greatly increase both its accuracy and speed.

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IJARIIE Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 3 2023 Page 2140-2145
MLA Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity." International Journal Of Advance Research And Innovative Ideas In Education 9.3(2023) : 2140-2145.
APA Veena R S, Abhijna K C, B G Shreyas, Bhargavi, & Dhanush Gowda S. (2023). Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity. International Journal Of Advance Research And Innovative Ideas In Education, 9(3), 2140-2145.
Chicago Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 3 (2023) : 2140-2145.
Oxford Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. 'Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, 2023, p. 2140-2145. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf (Accessed : ).
Harvard Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. (2023) 'Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity', International Journal Of Advance Research And Innovative Ideas In Education, 9(3), pp. 2140-2145IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf (Accessed : )
IEEE Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S, "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 3, pp. 2140-2145, May-Jun 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf [Accessed : ].
Turabian Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. "Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 3 ().
Vancouver Veena R S, Abhijna K C, B G Shreyas, Bhargavi, and Dhanush Gowda S. Deep Learning and INSAT-3D IR Imagery for Estimating Cyclone Intensity. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : ]; 9(3) : 2140-2145. Available from: https://ijariie.com/AdminUploadPdf/Deep_Learning_and_INSAT_3D_IR_Imagery_for_Estimating_Cyclone_Intensity_ijariie20428.pdf
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