Geospatial Analysis of Leased Lands in Ukraine-Reference-Cited by-同舟云学术

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Geospatial Analysis of Leased Lands in Ukraine

Published:2021-11-29 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Conference on Information and Telecommunication Technologies and Radio Electronics (UkrMiCo)
language:
Short-container-title:

Author:

Shelestov Andrii¹,Yailymov Bohdan²,Parkhomchuk Oleksandr²

Affiliation:

1. National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute»,Department of Mathematical Modeling and Data Analysis,Kyiv,Ukraine

2. Space Research Institute NAS Ukraine & SSA Ukraine,Department of Space Information Systems and Services,Kyiv,Ukraine

Funder

National Research Foundation of Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9716582/9716586/09716682.pdf?arnumber=9716682

Reference17 articles.

1. Random forests. Mach. Learn;breiman,2001

2. An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery

3. Towards a set of agrosystem-specific cropland mapping methods to address the global cropland diversity

4. Remote sensing image classification based on neural network ensemble algorithm

5. Satellite Agricultural Monitoring in Ukraine at Country Level: World Bank Project

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