Dimensionality reduction using deep belief network in big data case study: Hyperspectral image classification-Reference-Cited by-同舟云学术

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Dimensionality reduction using deep belief network in big data case study: Hyperspectral image classification

Published:2016-10 Issue: Volume: Page:
ISSN:
Container-title:2016 International Workshop on Big Data and Information Security (IWBIS)
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Author:

Arsa Dewa Made Sri,Jati Grafika,Mantau Aprinaldi Jasa,Wasito Ito

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7866273/7872873/07872892.pdf?arnumber=7872892

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Land use/land cover (LULC) classification using hyperspectral images: a review;Geo-spatial Information Science;2024-04-15

2. Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions;Neurocomputing;2023-06

3. Multiple vehicles tracking and detection using weight high order singular value decomposition dimensionality reduction and double classifiers;Journal of Intelligent & Fuzzy Systems;2023-03-09

4. Optimized Stacked Auto-Encoder for Unnecessary Data Reduction in Cloud of Things;2022 International Wireless Communications and Mobile Computing (IWCMC);2022-05-30

5. Hyperspectral Image Classification Based on Class-Incremental Learning with Knowledge Distillation;Remote Sensing;2022-05-26

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