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SPOT 5图像融合算法研究

Study on Algorithms of SPOT 5 Images Fusion
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摘要 对SPOT 5图像光谱特征进行分析,与同类别的图像特点进行对比,对常用的融合方法得到的图像特点进行分析,说明其优劣势。以BROVEY算法为基础,对SPOT 5图像假彩色融合进行试验,分析基本算法的特点及图像效果。针对植被层次不丰富、山区阴影呈蓝色的不足,提出了2种改进的融合算法,并对其原理进行说明,对融合后图像的特点作了客观分析。 An analysis of spectral characteristics of SPOT5 images was conducted and compared with same categories, spectral characteristics of images obtained by common fusion methods was described; the advantage and disadvantage of the methods also have been compared. On basis of algorithm of BROVEY, an experiment on fusion of false colors of SPOT5 images was carried out. Then the character-istics of fundamental algorithms and image effects were explained. Aim at the inadequate of vegetation cover strata and blue hilly terrains shadows, two algorithms of fusion for improvement are introduced. The principles of algorithms were interpreted and an objective analysis of the images characteristics obtained after fusion also has been given.
作者 林辉
出处 《林业调查规划》 2012年第2期1-3,共3页 Forest Inventory and Planning
关键词 图像融合 假彩色 图像处理 SPOT 5 BROVEY image fusion false color image processing SPOTS BROVEY
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