摘要
由于季节、光照、大气条件等的不同,大范围卫星影像间色调差异较大,镶嵌后影像接边处存在明显"拼接缝"。针对此问题本文提出了一种卫星影像色彩一致性算法,以覆盖测区、色彩一致性较好的低分辨率卫星影像为基准色调底图,对测区内源影像进行自动的色彩校正。选取大范围、时相差异较大的高分一号卫星影像进行试验,经本文算法处理,影像镶嵌后整体视觉效果较好,接边处色彩过渡平滑,影像重叠区域各项统计指标良好,验证了该算法的有效性和可靠性。
For a large collection of satellite images,because of the differences in season,light,atmospheric conditions and so on,adjacent satellite images may have different color and there will be obviously"seam-line"in mosaic satellite image.In this paper,a method of satellite image color normalization was proposed,it was implemented to correct the color of image automatically based on better color low resolution satellite imagery which covered the mapping area.We selected a large collection and long time interval GF-1 satellite images as experiment data,results show that the mosaic image have a good visual effect,the color transition of two images smoothly,statistical indicators of overlap area obviously improved,all of those verified the validity and reliability of the algorithm.
出处
《测绘学报》
EI
CSCD
北大核心
2017年第12期1986-1997,共12页
Acta Geodaetica et Cartographica Sinica
基金
中国测绘科学研究院基本科研业务费(7771608)
测绘地理信息公益性行业科研专项(201511078)
国家自然科学基金(41561090)
甘肃省财政厅基本科研业务费(214146)
国家重点研发计划(2017YFB0503004)~~
关键词
匀色
色彩一致性
相对辐射校正
镶嵌
低频信息
image dodging
color normalization
relative radiometric correction
image mosaic
low frequency information
