Improving the Efficiency of Deep Learning Methods in Remote Sensing Data Analysis: Geosystem Approach

Improving the Efficiency of Deep Learning Methods in Remote Sensing Data Analysis: Geosystem Approach

The article proposes a solution for the problem of high-resolution remote sensing data classification by applying deep learning methods and algorithms in conditions of labeled data scarcity. The problem can be solved within the geosystem approach, through the analysis of the genetic uniformity of sp...

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Bibliographic Details
Main Authors: Stanislav A. Yamashkin, Anatoliy A. Yamashkin, Victor V. Zanozin, Milan M. Radovanovic, Alexander N. Barmin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural networks
deep learning
geospatial analysis
geosystems
image classification
machine learning
Online Access:https://ieeexplore.ieee.org/document/9210087/

Internet

https://ieeexplore.ieee.org/document/9210087/

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