Research on Remote Sensing Image Classification Based on Lightweight Convolutional Neural Network

DOI

10.2991/978-94-6463-010-7_15How to use a DOI?

Keywords

lightweight convolutional neural network; remote sensing image classification; grouped convolution; receptive field; attention mechanism

Abstract

There is an increasing demand for remote sensing image classification in many civilian applications. Inputting the feature map into the convolutional neural network can obtain more abstract features of the input feature map, and this ability can be applied to remote sensing image classification. The popularity of portable devices makes the network model develop in the direction of light weight. Therefore, this paper uses MobileNetV3 as the basic network, applies convolutional neural network to remote sensing image classification, and uses grouped convolution to group input features. In order to reduce the parameters of the model, a lightweight attention mechanism is used, and the convolution operation of different receptive fields is used in this paper to extract image features. The main purpose of this paper is to use convolutional neural networks on portable devices, and to ensure the accuracy of the network to a certain extent. The experimental results show that the parameter amount of the model has changed from 20.92M to 5.66M after several processing, which is only a quarter of the original, but its accuracy rate better.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zhengwu Yuan
AU  - Xinjie Liu
PY  - 2022
DA  - 2022/12/02
TI  - Research on Remote Sensing Image Classification Based on Lightweight Convolutional Neural Network
BT  - Proceedings of the 2022 International Conference on Artificial Intelligence, Internet and Digital Economy (ICAID 2022)
PB  - Atlantis Press
SP  - 127
EP  - 138
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-010-7_15
DO  - 10.2991/978-94-6463-010-7_15
ID  - Yuan2022
ER  -