E-ISSN 2063-5346
 

Research Article 


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

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 11.11 (2022), 98-104. Print. doi:10.31838/ecb/2022.11.11.011



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