文章基本信息

标题：Dodging In Photogrammetry and Remote Sensing
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作者：Z.J. Li ; Z.X. Zhang ; J.Q. Zhang 等
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B5
页码：918-923
出版社：Copernicus Publications
摘要：The images in photogrammetry and remote sensing applications are always degraded images. The degradation lies in two aspects: geometry degradation and radiometry degradation. Aimed at the images captured in various scales, the causes of uneven illumination and uneven color are analyzed. Then, the definition of dodging is extended as a process removes uneven illumination and uneven color, eliminates obvious color cast, and improves the realistic representation and geometry quality effectively. However, the main approaches for dodging currently are all merely perform the task of balancing illumination without take into account other factors. After compared and analyzed such approaches, introduced multi-scale retinex for color rendition, and made an assumption of grey world, a framework for color image dodging only based on image information in photogrammetry and remote sensing is proposed and tested. The experiment indicates that such framework can process uneven lightness, uneven color, obvious color cast effectively and restore geometry degradation in a certain degree
关键词：Remote Sensing; Close Range; Photography; Color; Image; Modelling; Rendering