Machine Learning Approach Towards Satellite Image Classification-Reference-Cited by-同舟云学术

Machine Learning Approach Towards Satellite Image Classification

Published:2020-12-17 Issue: Volume: Page:627-637
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Ferdous Humayra^ORCID,Siraj Tasnim,Setu Shifat Jahan,Anwar Md. Musfique,Rahman Muhammad Arifur^ORCID

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-33-4673-4_51

Reference25 articles.

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3. Banerjee, B., Bovolo, F., Bhattacharya, A., Bruzzone, L., Chaudhuri, S., Mohan, B.K.: A new self-training-based unsupervised satellite image classification technique using cluster ensemble strategy. IEEE Geosci. Remote Sens. Lett. 12(4), 741–745 (2014)

4. Bishop, C.M.: Pattern Recognition and Machine Learning (Information Science and Statistics). Springer (2006)

5. Block, J., Yazdani, M., Nguyen, M., Crawl, D., Jankowska, M., Graham, J., DeFanti, T., Altintas, I.: An unsupervised deep learning approach for satellite image analysis with applications in demographic analysis. In: 2017 IEEE 13th International Conference on e-Science (e-Science). pp. 9–18. IEEE (2017)

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