Machine learningRemote sensing
基于像素的图像分类
基于像素的图像分类是一种基础的遥感技术，它仅根据卫星或航空影像中每个独立像素在多个波段上的光谱值，将其分配到一个专题性地表覆盖类别。该方法由 Lu 和 Weng (2007) 系统性地综述和形式化，包括监督式方法（其中标记的训练样本指导分类器）和无监督式聚类方法（在没有先验标签的情况下发现自然光谱分组）。
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来源
- Lu, D., & Weng, Q. (2007). A survey of image classification methods and techniques for improving classification performance. International Journal of Remote Sensing, 28(5), 823–870. DOI: 10.1080/01431160600746456 ↗
如何引用本页
ScholarGate. (2026, June 2). Pixel-Based Image Classification. ScholarGate. https://scholargate.app/zh/remote-sensing/pixel-based-classification
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