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一项研究结合了自动编码器和提升的大爆炸缩理论架构,用于使用遥感图像进行土地使用分类

Qiongbing Xiong1, Xuecheng Wu2, Cizhen Yu1

  • 1College of Tourism Management, Guizhou University of Commerce, Guiyang, Guizhou, 550014, China.

Scientific reports
|May 2, 2025
PubMed
概括

这项研究引入了一种用于土地使用分类的新型深度学习方法,将卷积神经网络与优化的元启发技术相结合. 该方法显著提高了对基准数据集的分类准确性.

关键词:
提升了大爆炸崩理论的发展.深度学习是一种深度学习.土地使用分类土地使用分类.这是一种元启发式 (metaheuristic) 启发式.堆叠的自动编码器在VGG-19中,VGG-19在VGG-19中使用.

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