A New Spatial and Temporal Fusion Model
Refereed conference paper presented and published in conference proceedings
Officially Accepted for Publication

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AbstractAs Moderate Resolution Imaging Spectroradiometer (MODIS) and Enhanced Thematic Mapper Plus (ETM+) has a tradeoff between the high temporal resolution and high spatial resolution, this paper proposed a spatial and temporal model with auto-regression error correction (AREC) method to blend the two types of images in order to obtain the composed image with both high spatial and temporal resolution. Experiments and validation were conducted on a data set located in Shenzhen, China and compared with Spatial and Temporal Adaptive Reflectance Fusion Model (STARFM) in several objective indexes and visual analysis. It was found that AREC could effectively predict the land cover changes and the fusion results had better performances versus the ones of STARFM.
Acceptance Date04/05/2016
All Author(s) ListWANG J, HUANG B
Name of ConferenceXXIII ISPRS Congress 2016
Start Date of Conference12/07/2016
End Date of Conference19/07/2016
Place of ConferencePrague
Country/Region of ConferenceCzech Republic
Proceedings TitleISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Volume NumberIII-7
Issue Number7
Pages203 - 206
LanguagesEnglish-United Kingdom

Last updated on 2021-25-09 at 00:37