Use of MODIS and Landsat time series data to generate high-resolution temporal synthetic Landsat data using a spatial and temporal reflectance fusion model. J Appl Remote Sens, 2012, 6: 063507 修正的时空数据融合方法通过使用自适应窗口大小选择方法选择最佳窗口大小和移动步骤对粗大像素进行分解来改进STD...
spatio‐temporal data fusionRemote sensing data have been widely used to study various geophysical processes. With the advances in remote sensing technology, massive amount of remote sensing data are collected in space over time. Different satellite instruments typically have different footprints, ...
【Spatiotemporal Fusion of Multisource Remote Sensing Data: Literature Survey, Taxonomy, Principles, Applications, and Future Directions】多源遥感数据的时空融合:文献调查、分类、准则、应用和未来方向 摘要 具有高空间分辨率的卫星时间序列对于监测异质地貌中的地表动态至关重要。尽管近年来遥感技术经历了快速发展,但...
Spatio-temporal data fusion for very large remote sensing datasets. Technometrics 2014, 56, 174-185.Nguyen, H., Katzfuss, M., Cressie, N., and Braverman, A. (2014). "Spatio-temporal data fusion for very large remote sensing datasets". Technometrics, 56(2):174-185....
Additionally, spatiotemporal fusion can be performed on various data processing levels depending on the desired techniques and applications to be used [3]. It also can depend on the type of data used; for instance, per-pixel operations are well suited for images acquired from the same imaging ...
ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applications ROBOT: A spatiotemporal fusion model toward seamless data cube for global remote sensing applicationsdoi:10.1016/j.rse.2023.113616Spatiotemporal fusion... S Chen,J Wang,P Gong - 《Remote Sensing of...
2024 KDD( ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 知识发现和数据挖掘会议)在2024年8月25日-29日在西班牙巴塞罗那举行。 本文总结了KDD2024有关时空数据(Spatial-temporal)的相关论文,如有疏漏,欢迎大家补充。 时空数据Topic:时空(交通)预测,插补,气象预测,轨迹生成,预测,异常检测,信控优化...
To obtain quality time series of satellite images in a human-dominated region, this study developed the Modified Flexible Spatial-temporal Data Fusion (MFSDAF) approach based on the Flexible Spatial-temporal Data Fusion (FSDAF) model by using the enhanced linear regression (ELR). Multiple ...
Spatio‐Temporal data fusion for massive sea surface temperature data from MODIS and AMSR‐E instruments The land surface temperature (LST) is a key parameter for energy balance, evapotranspiration and climate change. In this study, two new methods of LST retr... P Ma,EL Kang - John Wiley ...
《A Spatiotemporal Fusion Transformer Model for Chlorophyll-a Concentrations Prediction Over Large Areas With Satellite Time Series Data》论文笔记 研究背景 论文研究了叶绿素-a(Chla)的预测,这是海洋生态系统健康和环境变化的重要指标。传统的物理模型和数据驱动模型在Chla预测上存在局限性,尤其是长时间序列预测和...