Next Article in Journal
Previous Article in Journal
Remote Sens. 2013, 5(12), 6346-6360; doi:10.3390/rs5126346
Article

An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model

1,2
, 1,* , 3
, 4
 and 5
Received: 1 August 2013; in revised form: 8 November 2013 / Accepted: 11 November 2013 / Published: 26 November 2013
View Full-Text   |   Download PDF [1355 KB, updated 19 June 2014; original version uploaded 19 June 2014]   |   Browse Figures
Abstract: High spatiotemporal resolution satellite imagery is useful for natural resource management and monitoring for land-use and land-cover change and ecosystem dynamics. However, acquisitions from a single satellite can be limited, due to trade-offs in either spatial or temporal resolution. The spatial and temporal adaptive reflectance fusion model (STARFM) and the enhanced STARFM (ESTARFM) were developed to produce new images with high spatial and high temporal resolution using images from multiple sources. Nonetheless, there were some shortcomings in these models, especially for the procedure of searching spectrally similar neighbor pixels in the models. In order to improve these models’ capacity and accuracy, we developed a modified version of ESTARFM (mESTARFM) and tested the performance of two approaches (ESTARFM and mESTARFM) in three study areas located in Canada and China at different time intervals. The results show that mESTARFM improved the accuracy of the simulated reflectance at fine resolution to some extent.
Keywords: image fusion; reflectance; Landsat; MODIS image fusion; reflectance; Landsat; MODIS
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Fu, D.; Chen, B.; Wang, J.; Zhu, X.; Hilker, T. An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model. Remote Sens. 2013, 5, 6346-6360.

AMA Style

Fu D, Chen B, Wang J, Zhu X, Hilker T. An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model. Remote Sensing. 2013; 5(12):6346-6360.

Chicago/Turabian Style

Fu, Dongjie; Chen, Baozhang; Wang, Juan; Zhu, Xiaolin; Hilker, Thomas. 2013. "An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model." Remote Sens. 5, no. 12: 6346-6360.


Remote Sens. EISSN 2072-4292 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert