地理科学 ›› 2021, Vol. 41 ›› Issue (7): 1276-1284.doi: 10.13249/j.cnki.sgs.2021.07.018
收稿日期:
2021-02-24
修回日期:
2021-05-21
出版日期:
2021-07-31
发布日期:
2021-09-06
通讯作者:
张玉红
E-mail:cheenyanjun@126.com;zhangyuhong77@163.com
作者简介:
陈彦军(1972-),男,黑龙江呼兰人,副教授,博士,主要研究方向为计算机视觉、遥感影像处理等。E-mail: cheenyanjun@126.com
基金资助:
Chen Yanjun1(), Zhang Yuhong2,*(
)
Received:
2021-02-24
Revised:
2021-05-21
Online:
2021-07-31
Published:
2021-09-06
Contact:
Zhang Yuhong
E-mail:cheenyanjun@126.com;zhangyuhong77@163.com
Supported by:
摘要:
针对2003年以后Landsat-7扫描线纠正器失效问题,提出一种利用回归分析和三次样条插值对图像缺失像素进行恢复的算法,该方法无需使用参考图,并以非监督分类结果为准则。首先对图像进行预处理,包括条带定位、非监督分类和局部平均灰度计算;然后,利用回归分析计算在每个条带像素的3个方向上条带外侧像素的灰度变化趋势;在非监督分类准则下,通过判断各个方向条带两侧像素类型异同的策略确定条带当前像素的填充方向;随后,对条带边界点和非边界点采用不同算法分别填充。对非边界像素,在填充方向上利用三次样条插值计算当前像素的灰度插值;最后,对条带进行自适应滤波处理。实验结果表明,在不需要参考其它遥感影像与数据的条件下,研究方法与常用的有参考图方法相比较差别不大,而其均方根误差值17.590 4接近于最优的权重线性回归方法的17.400 6。
中图分类号:
陈彦军, 张玉红. 无参考图条件下的Landsat-7 SLC-off图像缺失像素填充算法研究[J]. 地理科学, 2021, 41(7): 1276-1284.
Chen Yanjun, Zhang Yuhong. Filling Algorithm for Missing Pixels in Landsat-7 SLC-off Images Using No Reference Images[J]. SCIENTIA GEOGRAPHICA SINICA, 2021, 41(7): 1276-1284.
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