ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume III-7
https://doi.org/10.5194/isprs-annals-III-7-203-2016
https://doi.org/10.5194/isprs-annals-III-7-203-2016
07 Jun 2016
 | 07 Jun 2016

A NEW SPATIAL AND TEMPORAL FUSION MODEL

Jing Wang and Bo Huang

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.