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Regression modelGIS / spatial

时空遥感分类

时空遥感分类将标准图像分类扩展到多时相的卫星或航空影像,使分析人员能够跨越空间和时间追踪土地覆盖变化、物候周期和环境动态。通过纳入时间维度,分类器可以实现更高的精度,并能检测出单时相分析会遗漏的过渡。

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来源

  1. Zhu, Z. (2017). Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications. ISPRS Journal of Photogrammetry and Remote Sensing, 130, 370-384. DOI: 10.1016/j.isprsjprs.2017.06.013
  2. Woodcock, C. E., et al. (2008). Free access to Landsat imagery. Science, 320(5879), 1011-1011. DOI: 10.1126/science.320.5879.1011a

如何引用本页

ScholarGate. (2026, June 3). Space-Time Remote Sensing Classification. ScholarGate. https://scholargate.app/zh/spatial-analysis/space-time-remote-sensing-classification

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ScholarGateSpace-Time Remote Sensing Classification (Space-Time Remote Sensing Classification). 于 2026-06-15 检索自 https://scholargate.app/zh/spatial-analysis/space-time-remote-sensing-classification · 数据集: https://doi.org/10.5281/zenodo.20539026