基于HOT影像优化的遥感影像去雾算法

发布时间：2018-05-28 21:14

  本文选题：雾厚度图像 + 去雾　； 参考：《测绘科学技术学报》2017年02期

【摘要】：针对BSHTI和IBSHTI两种算法对卫星影像云雾校正后,地表的色调和纹理等细节缺失严重的问题,提出OIBSHTI算法对IBSHTI算法得出的雾厚度图像进行地表信息削减。通过填洼算法去除暗色区域,并引入纹理和边缘信息等进行优化处理,在彻底去除云雾的同时保留地表的色调和纹理,特别是蓝色或红色建筑物房顶的校正效果较为明显。
[Abstract]:In order to solve the problem that the color and texture of the ground surface are seriously missing after the cloud and fog correction in satellite image by BSHTI and IBSHTI, a OIBSHTI algorithm is proposed to reduce the surface information of the fog thickness image obtained by the IBSHTI algorithm. The dark color region is removed by filling algorithm, and the texture and edge information are introduced to optimize the processing. The correction effect is obvious when the cloud and fog are completely removed while the colors and textures of the ground surface are preserved, especially the roof of blue or red buildings.
【作者单位】： 信息工程大学;
【基金】：国家863计划项目(2014AA7033049) 东华理工大学江西省数字国土重点实验室开放研究基金项目(DLLJ201503)
【分类号】：TP751
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本文编号：1948208