ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 203-206, 2016
https://doi.org/10.5194/isprs-annals-III-7-203-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
 
07 Jun 2016
A NEW SPATIAL AND TEMPORAL FUSION MODEL
Jing Wang and Bo Huang Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong
Keywords: Auto-regression Error, Image Fusion, Landsat, MODIS, Spatial and Temporal Model Abstract. As 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.
Conference paper (PDF, 4006 KB)


Citation: Wang, J. and Huang, B.: A NEW SPATIAL AND TEMPORAL FUSION MODEL, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., III-7, 203-206, https://doi.org/10.5194/isprs-annals-III-7-203-2016, 2016.

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