INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION

BOOBESH P; KISHORE V; SAMIR HUSSAIN M D; JANAGI R

INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION

October 2023

Vol-9, Issue-5

Paper ID: 21772

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science Engineering

Keywords

Deep learning techniques Convolutional neural networks (CNNs) false detection reduction Timely detection Confusion matrix Satellite imagery Classification.

Abstract

Forest fires pose a significant threat to ecosystems, human lives, and infrastructure. Rapid and accurate detection of these fires is crucial for effective firefighting and prevention. Climatic changes and the greenhouse effect are some of the consequences of such destruction. Interestingly, a higher percentage of forest fires occur due to human activities. Therefore, to minimize the destruction caused by forest fires, there is a need to detect forest fires at their initial stage. Deep learning techniques, such as convolutional neural networks (CNNs), will be employed for feature extraction and classification tasks based on transfer learning is designed which train the satellite images and classify the datasets into a fire and non-fire images, confusion matrix is generated to specify efficiency of the framework, then extract the fire occurred region in the satellite image using local binary pattern it reduces false detection rates.

License

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Author Information

#	Name	Institute / Affiliation
1	BOOBESH P	Bannari Amman Institute of Technology
2	KISHORE V	Bannari Amman Institute of Technology
3	SAMIR HUSSAIN M D	Bannari Amman Institute of Technology
4	JANAGI R	Bannari Amman Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

P, BOOBESH, V, KISHORE, D, SAMIR HUSSAIN M, & R, JANAGI (2023). INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1586-1594.

MLA Style

P, BOOBESH, et al. "INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1586-1594.

IEEE Style

BOOBESH P, KISHORE V, SAMIR HUSSAIN M D, and JANAGI R, "INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1586-1594, 2023.

Vancouver Style

P BOOBESH, V KISHORE, D SAMIR HUSSAIN M, R JANAGI. INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1586-1594.

Harvard Style

P, BOOBESH, V, KISHORE, D, SAMIR HUSSAIN M, & R, JANAGI (2023) 'INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1586-1594.

Chicago Style

P, BOOBESH, et al. "INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1586-1594.

Turabian Style

P, BOOBESH, et al. "INTEGRATION OF ARTIFICIAL INTELLIGENCE AND SATELLITE IMAGERY FOR FOREST FIRE DETECTION." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1586-1594.