Land use and land cover (LULC) classification are one of the important tasks to monitor the various land cover resources of the earth. In this research work, we have proposed a novel idea to classify the Landsat-8 multispectral remote sensing images. Machine learning and Deep learning algorithms play a very important tool to classify these multispectral images into various land cover classes such as cloud, water, forest, urban area, plantation, and cropland. In this paper, Long Short-Term Memory (LSTM) of Recurrent neural network (RNN) is used to achieve high-level classification accuracy and solve the memory problem issues which can be occurred at internal state. Our proposed work proved that; it resolved the gradient problem of recurrent neural networks. The Real-time experiment was conducted by Landsat-8 image and proposed work compared with traditional RNN and fuzzy c-means (FCM). The proposed method achieved 97.58% classification accuracy for the Landsat-8 image.
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18 November 2022
INTERNATIONAL CONFERENCE ON SMART GRID & ELECTRIC VEHICLE (ICSGEV 2021)
15–16 July 2021
Tamil Nadu, India
Research Article|
November 18 2022
Land use and land cover classification using Landsat-8 multispectral remote sensing images and long short-term memory-recurrent neural network
Vignesh T.;
Vignesh T.
a)
1
Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation
, Vaddeswaram, Andhra Pradesh, India
a)Corresponding Author: [email protected]
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Thyagharajan K. K.;
Thyagharajan K. K.
b)
2
Department of Electronics and Communication Engineering, R.M.D Engineering College
, Chennai, India
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R. Beaulah Jeyavathana;
R. Beaulah Jeyavathana
c)
3
Department of Computer Science and Engineering, Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences
, Thandalam, Chennai, India
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Prasanna Kumar R.
Prasanna Kumar R.
d)
4
Department of Computer Science and Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham
, Chennai, India
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a)Corresponding Author: [email protected]
AIP Conf. Proc. 2452, 070001 (2022)
Citation
Vignesh T., Thyagharajan K. K., R. Beaulah Jeyavathana, Prasanna Kumar R.; Land use and land cover classification using Landsat-8 multispectral remote sensing images and long short-term memory-recurrent neural network. AIP Conf. Proc. 18 November 2022; 2452 (1): 070001. https://doi.org/10.1063/5.0113197
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