An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model
An Improved Image Fusion Approach Based on Enhanced Spatial and Temporal the Adaptive Reflectance Fusion Model
复制标题
基于增强时空自适应反射率融合模型的改进图像融合方法
DOI：
10.3390/rs5126346
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发表时间：
2013-12-01
期刊：
影响因子：
5
通讯作者：
Hilker, Thomas
中科院分区：
文献类型：
--
作者：
Fu, Dongjie;Chen, Baozhang;Hilker, Thomas
高时空分辨率卫星图像可用于自然资源管理以及土地利用和土地覆盖变化以及生态系统动态监测。然而，由于空间或时间分辨率的权衡，从单个卫星获取的数据可能受到限制。开发了空间和时间自适应反射融合模型（STARFM）和增强型 STARFM（ESTARFM），以利用多个来源的图像生成具有高空间和高时间分辨率的新图像。尽管如此，这些模型也存在一些缺点，特别是在模型中搜索光谱相似的相邻像素的过程中。为了提高这些模型的容量和准确性，我们开发了 ESTARFM (mESTARFM) 的修改版本，并在加拿大和中国的三个研究区域以不同的时间间隔测试了两种方法（ESTARFM 和 mESTARFM）的性能。结果表明，mESTARFM在一定程度上提高了精细分辨率下模拟反射率的精度。
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.