| 利用基准色调的大范围卫星影像色彩一致性处理算法 |
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| 引用本文： | 崔浩,张力,艾海滨,许彪,王中辉. 利用基准色调的大范围卫星影像色彩一致性处理算法[J]. 测绘学报, 2017, 46(12): 1986-1997. DOI: 10.11947/j.AGCS.2017.20170402 |
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| 作者姓名： | 崔浩 张力 艾海滨 许彪 王中辉 |
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| 作者单位： | 1. 兰州交通大学测绘与地理信息学院, 甘肃 兰州 730070;2. 中国测绘科学研究院, 北京 100830;3. 甘肃省地理国情监测工程实验室, 甘肃 兰州 730070 |
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| 基金项目： | 中国测绘科学研究院基本科研业务费，测绘地理信息公益性行业科研专项，国家自然科学基金，甘肃省财政厅基本科研业务费，国家重点研发计划，The Fundamental Research Funds for CASM，The Special Scientific Research Funds of Public Welfare Profession of China，The National Natural Science Foundation of China，The Fundamental Research Funds for Gansu Provincial Finance Department，The National Key Research and Development Program |
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| 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。
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| 关 键 词： | 匀色 色彩一致性 相对辐射校正 镶嵌 低频信息 |
| 收稿时间： | 2017-07-12 |
| 修稿时间： | 2017-10-18 |
Large Collection Satellite Images Color Normalization Algorithm Based on Tone Reference Map |
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| CUI Hao,ZHANG Li,AI Haibin,XU Biao,WANG Zhonghui. Large Collection Satellite Images Color Normalization Algorithm Based on Tone Reference Map[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(12): 1986-1997. DOI: 10.11947/j.AGCS.2017.20170402 |
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| Authors: | CUI Hao ZHANG Li AI Haibin XU Biao WANG Zhonghui |
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| Affiliation: | 1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;2. Chinese Academy of Surving and Mapping, Beijing 100830, China;3. Gansu Provincial Engineering Laboratory for National Geographic State Monitoring, Lanzhou 730070, China |
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| Abstract: | 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. |
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| Keywords: | image dodging color normalization relative radiometric correction image mosaic low frequency information |
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