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	An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model
	Wang J.; Wang J.
	2013
关键词	image fusion reflectance Landsat MODIS principal component analysis landsat surface reflectance cloud-cover assessment ecosystem productivity generation algorithm framework dynamics fluxes carbon
英文摘要	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.
出处	Remote Sensing
卷	5
期	12
页	6346-6360
收录类别	SCI
语种	英语
ISSN号	2072-4292
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/30568]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Wang J.,Wang J.. An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model. 2013.

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