Spacecraft Recovery & Remote Sensing, Volume. 45, Issue 3, 51(2024)

Application Analysis of Object-Level (OL) Spatio-Temporal Fusion Model in NDVI and LST —— Taking Dali Area as an Example

Yongle GAO1, Jinsheng CHANG2, Yongchong YANG1、*, and Tao WANG1
Author Affiliations
  • 1Xi’an University of Science and Technology, College of Geomatics, Xi’an 710054, China
  • 2Beijing North-Star Technology Development CO. LTD., Beijing 100120, China
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    References(18)

    [6] [6] FENG G, MASEK J G, SCHWALLER M R, et al. On the Blending of the Lsat MODIS Surface Reflectance: Predicting Daily Lsat Surface Reflectance[J]. IEEE Transactions on Geoscience Remote Sensing, 2006, 44 (8): 22072218. DOI: 10.1109TGRS. 2006.872081.

    [8] [8] WANG Q, ATKINSON P M. SpatioTempal Fusion f Daily Sentinel2 Images[J]. Remote Sensing of Environment, 2018, 204: 3142. DOI: 10.1016j. rse. 2017.10. 046.

    [21] [21] ZHAO M, YANG R, HU M, et al. Deep LearningBased Technique f Remote Sensing Image Enhancement Using Multiscale Feature Fusion[J]. Senss, 2024, 24(2): 673. DOI: 10.3390s24020673.

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    Yongle GAO, Jinsheng CHANG, Yongchong YANG, Tao WANG. Application Analysis of Object-Level (OL) Spatio-Temporal Fusion Model in NDVI and LST —— Taking Dali Area as an Example[J]. Spacecraft Recovery & Remote Sensing, 2024, 45(3): 51

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    Paper Information

    Category:

    Received: Jul. 27, 2023

    Accepted: --

    Published Online: Oct. 30, 2024

    The Author Email: YANG Yongchong (363195405@qq.com)

    DOI:10.3969/j.issn.1009-8518.2024.03.006

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