Design and implementation of an Automatic Deep Stacked Sparsely Connected Convolutional Autoencoder (ADSSCCA) neural network for remote sensing lithological mapping using calculated dropout-Reference-Cited by-同舟云学术

Design and implementation of an Automatic Deep Stacked Sparsely Connected Convolutional Autoencoder (ADSSCCA) neural network for remote sensing lithological mapping using calculated dropout

Published:2024-03-09 Issue:3 Volume:17 Page:1993-2010
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Atangana Otele Charlie Gael,Akong Onabid Mathias,Assembe Patrick Stephane

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s12145-024-01257-y.pdf

Reference32 articles.

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2. Assembe SP, Ndougsa-Mbarga T, Nyam FEA, Ngoumou PC, Meying A, Gouet DH, ZangaAmougou A, Ngoh JD (2020) Evidence of Porphyry Deposits in the Ntem Complex: A Case Study from Structural and Hydrothermal Alteration Zones Mapping through Landsat-8 OLI, Aeromagnetic and Geological Data Integration in the Yaounde-Sangmelima Region (Southern Cameroon). Advances in Remote Sensing 9:53–84. https://doi.org/10.4236/ars.2020.92004

3. Atangana OCG, Onabid MA, Assembe PS, Nkenlifack M (2021) Updated Lithological Map in the Forest Zone of the Centre, South and East Regions of Cameroon Using Multilayer Perceptron Neural Network and Landsat Images. Journal of Geoscience and Environment Protection 9:120–134. https://doi.org/10.4236/gep.2021.96007

4. Atangana OCG, Akong OM, Stephane AP (2023) Design and implementation of an Automatic Deep Stacked Sparsely Connected Auto-Encoder (ADSSCA) Neural Network Architecture for Lithological Mapping Under Thick Vegetation Using Remote Sensing: A Case Study of Landsat-8 Images in Some Parts of the South Region of Cameroon. (p 47). Preprint [Online] Available at https://doi.org/10.21203/rs.3.rs-2537926/v1

5. Bishop CM (1995) Neural networks for pattern recognition. Clarendon Press, Oxford p 498. https://people.sabanciuniv.edu/berrin/cs512/lectures/Book-Bishop-Neural%20Networks%20for%20Pattern%20Recognition.pdf