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作 者:熊贤成 杨春平[1] 敖明武[1] 郭晶[1] 曾丹丹[1]
机构地区:[1]电子科技大学,四川成都610054
出 处:《遥感技术与应用》2015年第3期540-546,共7页Remote Sensing Technology and Application
基 金:总装预研基金(9140A03040809DZ02);国家自然科学基金项目(11173008)
摘 要:为了提高MODIS_L1B含有条带噪声的波段5和波段27的影像质量,基于MODIS的扫描特性提出了一种通过扫描带行均最大值判断条带噪声行的方法。去除影像的噪声行时,在波段5的单行邻域插值法基础上,针对波段27提出了一种相邻多行插值方法。最后,通过对比原始数据和去条带噪声后数据的差值图、行均值图和数值分析来证实条带噪声处理效果。结果表明:该方法可以精确判断这两个波段影像的所有条带噪声行,且对条带噪声去除效果较好,去除条带过程简单且适用于复杂场景的光谱图像。In order to improve image quality of band 5and band 27,stripe noises were acquired by Moderate Resolution Imaging Spectroradiometer(MODIS)level 1B.Based on MODIS scanning characteristics a method of use the max mean of each swath was proposed to judge the stripe noises.As the time of destriping noises,according to the thought of single line stripe interpolation at band 5,an interpolate method was proposed to replace the adjacent multi-line strpe noises at band 27.Finally,comparison diagram,mean diagram and numeric analysis between original data and processed data were compared to validate the effect of destriping noises.The results show that the method can judge all the stripe noises exactly at both bands,and can remove the strpe noises well.The process of destriping is easily and suitable for the complex remote sensing scenes.
分 类 号:TP751.1[自动化与计算机技术—检测技术与自动化装置]
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