福建电脑2025，Vol.41Issue(3)：8-11,4.DOI:10.16707/j.cnki.fjpc.2025.03.002
昇腾人工智能技术在遥感场景分类中的应用
Remote Sensing Scene Classification based on Senteng Artificial Intelligence Technology
叶嘉宾 1黄力 2李楠 3蒋彦甫 4车洵5
作者信息
- 1. 南京大数据集团有限公司 江苏 南京 210000
- 2. 江苏省数据集团有限公司 江苏 南京 210000||东南大学 江苏 南京 210000
- 3. 南京大数据集团有限公司 江苏 南京 210000||东南大学 江苏 南京 210000
- 4. 集美大学 福建 厦门 361021
- 5. 南京理工大学紫金学院 江苏 南京 210000
- 折叠
摘要
Abstract
In order to address the issues of data imbalance and overfitting in remote sensing scene classification,this paper proposes a novel GM-SMO model.Firstly,a generative adversarial network is used to generate enhanced images.Then,the AlexNet model is applied to extract features,and the GM-SMO model is used to select unique features.Finally,these features are input into a long short-term memory model for classification.The research results show that the classification accuracy of remote sensing images using the GM-SMO model reaches 99.46%,effectively improving classification performance and providing new ideas for remote sensing data processing.关键词
生成对抗网络/遥感场景分类/昇腾人工智能技术/特征提取Key words
Generative Adversarial Networks/Scene Classification/Ascend AI/Feature Extraction分类
林学引用本文复制引用
叶嘉宾,黄力,李楠,蒋彦甫,车洵..昇腾人工智能技术在遥感场景分类中的应用[J].福建电脑,2025,41(3):8-11,4.
