Multi-Structure Joint Decision-Making Approach for Land Use Classification of High-Resolution Remote Sensing Images Based on CNNs

Multi-Structure Joint Decision-Making Approach for Land Use Classification of High-Resolution Remote Sensing Images Based on CNNs

Land use classification of high-resolution remote sensing (HRRS) images is a challenging and prominent problem in which pretrained convolutional neural networks (CNNs) have made amazing achievements. However, single-structured pretrained CNNs have limitations to obtain high classification accuracy....

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Bibliographic Details
Main Authors: Lu Xu, Yiyun Chen, Jiawei Pan, Aji Gao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Land use classification
convolutional neural network
transfer learning
high-resolution remote sensing images
multi-structure
Online Access:https://ieeexplore.ieee.org/document/9016025/

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