CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING

Murali Kalipindi; Ranichandra C; P.T.Kalaivaani; Senthilkumar N C; Veeramalai Sankaradass; Madiajagan M

doi:10.31838/ecb/2022.11.11.011

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ECB. 2022; 11(11): 98-104

doi: 10.31838/ecb/2022.11.11.011

CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M.

Abstract
The field of chemical hyperspectral (CHS) imaging is one that is still in the process of evolving, but it already has a wide range of applications in a variety of fields, including the military and the civilian sector. The detection and localization of materials based on the known spectrum properties of those materials is one application that may be carried out with the use of HS spectral data. In this paper, we develop a deep convolutional neural network to sense the minerals from the hyper spectral images using remote sensing. The images collected are used to classified using the deep learning model that classifies the instances and provides accurate results. The simulations are conducted to evaluate the efficacy of the model in detecting the minerals from the hyperspectral images. An accuracy of 92% is obtained during testing than other methods.

Key words: Chemical Hyperspectral Imaging, Convolutional Neural Network, Remote Sensing

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How to Cite this Article

Pubmed Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M. CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. ECB. 2022; 11(11): 98-104. doi:10.31838/ecb/2022.11.11.011

Web Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M. CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. https://www.eurchembull.com/?mno=131986 [Access: January 21, 2023]. doi:10.31838/ecb/2022.11.11.011

AMA (American Medical Association) Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M. CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. ECB. 2022; 11(11): 98-104. doi:10.31838/ecb/2022.11.11.011

Vancouver/ICMJE Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M. CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. ECB. (2022), [cited January 21, 2023]; 11(11): 98-104. doi:10.31838/ecb/2022.11.11.011

Harvard Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M (2022) CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. ECB, 11 (11), 98-104. doi:10.31838/ecb/2022.11.11.011

Turabian Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M. 2022. CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. European Chemical Bulletin, 11 (11), 98-104. doi:10.31838/ecb/2022.11.11.011

Chicago Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M. "CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING." European Chemical Bulletin 11 (2022), 98-104. doi:10.31838/ecb/2022.11.11.011

MLA (The Modern Language Association) Style

APA (American Psychological Association) Style

Murali Kalipindi, Ranichandra C, P.T.Kalaivaani, Senthilkumar N C, Veeramalai Sankaradass, Madiajagan M (2022) CHEMICAL DETECTION FOR LAND MINING USING REMOTE SENSING BASED DEEP LEARNING. European Chemical Bulletin, 11 (11), 98-104. doi:10.31838/ecb/2022.11.11.011

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