Application of transfer learning of deep CNN model for classification of time-series satellite images to assess the long-term impacts of coal mining activities on land-use patterns-Reference-Cited by-同舟云学术

Application of transfer learning of deep CNN model for classification of time-series satellite images to assess the long-term impacts of coal mining activities on land-use patterns

Published:2022-04-07 Issue:26 Volume:37 Page:11420-11440
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Kumar Ajay¹,Gorai Amit Kumar¹^ORCID

Affiliation:

1. Department of Mining Engineering, National Institute of Technology, Rourkela, India

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2057595

Reference96 articles.

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2. Mapping Annual Land Use and Land Cover Changes in the Yangtze Estuary Region Using an Object-Based Classification Framework and Landsat Time Series Data

3. Dry dock detection in satellite images with representation learning

4. Bagnall A, Lines J, Hills J, Bostrom A. 2016. Time-series classification with COTE: the collective of transformation-based ensembles. International Conference on Data Engineering. p. 1548–1549.

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