An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification

An Efficient and Lightweight Convolutional Neural Network for Remote Sensing Image Scene Classification

Classifying remote sensing images is vital for interpreting image content. Presently, remote sensing image scene classification methods using convolutional neural networks have drawbacks, including excessive parameters and heavy calculation costs. More efficient and lightweight CNNs have fewer param...

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Bibliographic Details
Main Authors: Donghang Yu, Qing Xu, Haitao Guo, Chuan Zhao, Yuzhun Lin, Daoji Li
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
scene classification
remote sensing image
bilinear model
MobileNet
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/20/7/1999

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https://www.mdpi.com/1424-8220/20/7/1999

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