Large Collection Satellite Images Color Normalization Algorithm Based on Tone Reference Map

  • CUI Hao ,
  • ZHANG Li ,
  • AI Haibin ,
  • XU Biao ,
  • WANG Zhonghui
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  • 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

Received date: 2017-07-12

  Revised date: 2017-10-18

  Online published: 2017-12-28

Supported by

The Fundamental Research Funds for CASM(No. 7771608) The Special Scientific Research Funds of Public Welfare Profession of China(No. 201511078) The National Natural Science Foundation of China(No. 41561090) The Fundamental Research Funds for Gansu Provincial Finance Department(No. 214146) The National Key Research and Development Program(No. 2017YFB0503004)

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.

Cite this article

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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