A Parallelizable Global Color Consistency Optimization Algorithm for Multiple Images

The global optimization-based color correction approach aims to minimize the color differences of multiple images by optimizing the correction model for each image. The color differences in multisource and multitemporal remote sensing images are difficult to express using a simple correction model w...

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Veröffentlicht in:	IEEE geoscience and remote sensing letters 2025-01, Vol.22, p.1-5
Hauptverfasser:	Yin, Hongche, Zhou, Pengwei, Xu, Guozheng, He, Gaoming, Li, Li, Yao, Jian
Format:	Artikel
Sprache:	eng
Schlagworte:	Color correction Computational modeling Cost function Data models Image color analysis image mosaicking Intelligent control Mathematical models Neural radiance field Optimization parallel computation Remote sensing Training
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