无人机多光谱影像辐射一致性自动校正

被引:11
作者
杨贵军 [1 ,2 ,3 ]
万鹏 [1 ,4 ]
于海洋 [1 ,2 ]
徐波 [1 ,3 ]
冯海宽 [2 ,3 ]
机构
[1] 北京农业信息技术研究中心北京市农林科学院
[2] 国家农业信息化工程技术研究中心
[3] 农业部农业信息技术重点实验室
[4] 河南理工大学测绘与国土信息工程学院
基金
北京市自然科学基金;
关键词
无人机; 遥感; 辐射; 多光谱影像; 辐射一致性; 自动校正;
D O I
暂无
中图分类号
TP751 [图像处理方法];
学科分类号
摘要
针对一个架次内无人机影像由于光照度变化、拍摄角度等原因引起的相同地物点在不同影像上的辐射信息不一致的问题,验证了利用SIFT(scale invariant feature transform)算法匹配同名点,然后利用同名点灰度值的相关关系建立校正模型,再用该校正模型校正整幅影像的辐射一致性校正方法。对比评价了基于直方图匹配的色彩一致性校正方法、原始色彩空间辐射一致性校正、针对三波段影像的HSV(hue,saturation,value)色彩空间亮度一致性校正以及双边滤波去噪的效果。试验结果表明:基于直方图匹配的色彩一致性校正能在视觉上达到很好的效果,但是会造成校正后影像的灰度级严重缺失;基于同名点灰度值相关关系的校正模型能够很好地恢复待校正影像与基准影像的辐射一致性;HSV色彩空间亮度一致性校正能够在色彩上和辐射信息上与基准影像均达到很好的一致性,但只适用于三波段影像;双边滤波在去除噪声的同时,能够保持甚至提高校正后影像与基准影像的辐射一致性。
引用
收藏
页码:147 / 153
页数:7
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