A morphology-stitching method to improve Landsat SLC-off images with stripes  

作　　者：Aghamohamadnia M Abedini A 

机构地区：[1]Division of Remote Sensing,Department of Surveying and Geomatics,University of Tehran

出　　处：《Geodesy and Geodynamics》2014年第1期27-33,共7页大地测量与地球动力学（英文版）

摘　　要：Stripes are artifacts in satellite images caused by various factors such as hardware defects. In some cases, these artifacts are introduced by some mitigating algorithms like Landsat SLC-off （Scan Line Corrector） gap-filling methods of LLHM （Local Linear Histogram Matching） and AWLHM （Adaptive Window Linear Histogram Matching）, which leave stripes as a byproduct. To improve Landsat SLC-off images with stripes,we propose an algorithm involving some hypothetical stripe-crossing stitch lines using the mean pixel value of the stitch lines.Stripes are artifacts in satellite images caused by various factors such as hardware defects. In some cases, these artifacts are introduced by some mitigating algorithms like Landsat SLC-off （Scan Line Corrector） gap-filling methods of LLHM （Local Linear Histogram Matching） and AWLHM （Adaptive Window Linear Histogram Matching）, which leave stripes as a byproduct. To improve Landsat SLC-off images with stripes,we propose an algorithm involving some hypothetical stripe-crossing stitch lines using the mean pixel value of the stitch lines.

关 键 词：SLC-off STRIPE data analysis morphology stitching LANDSAT LLHM AWLHM 

分 类 号：P236[天文地球—摄影测量与遥感]