深度学习在遥感图像分割算法中的应用
Application of Deep Learning in Remote Sensing Image Segmentation Algorithms
李益1
作者信息
摘要
阐述通过对遥感图像分割,提取出地物边界和特征信息,为地理信息系统、土地利用规划等应用提供数据支持.基于深度学习的人工智能算法在图像分割中,具有准确性和鲁棒性高的优点.
Abstract
This paper describes the extraction of land boundary and feature information through remote sensing image segmentation,providing data support for applications such as geographic information systems and land use planning.Artificial intelligence algorithms based on deep learning have the advantages of high accuracy and robustness in image segmentation.
关键词
深度学习/智能算法/遥感图像分割Key words
deep learning/intelligent algorithms/remote sensing image segmentation引用本文复制引用
出版年
2024
NETL
NSTL
万方数据