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

doi:10.11947/j.AGCS.2017.20170402

Abstract

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.

Key words: image dodging, color normalization, relative radiometric correction, image mosaic, low frequency information

CLC Number:

P237

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.

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