Machine learningRemote sensing
深度学习在遥感图像分割中的应用
深度学习在遥感图像分割中的应用将卷积神经网络和编码器-解码器架构应用于像素级自动分类和描绘卫星或航空影像中的对象。Zhu 等人（2017 年）在 IEEE Geoscience and Remote Sensing Magazine 上对此进行了系统回顾，该范式将先前分散的方法——场景分类、对象检测和语义分割——统一在一个单一的、能够利用遥感数据的空间、光谱和时间丰富性的学习特征框架下。
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来源
- Zhu, X. X., et al. (2017). Deep learning in remote sensing: A comprehensive review and list of resources. IEEE Geoscience and Remote Sensing Magazine, 5(4), 8–36. DOI: 10.1109/MGRS.2017.2762307 ↗
如何引用本页
ScholarGate. (2026, June 2). Deep Learning for Remote Sensing Image Segmentation. ScholarGate. https://scholargate.app/zh/remote-sensing/deep-remote-sensing
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