Natural Color Satellite Image Mosaicking Using Quadratic Programming in Decorrelated Color Space
Natural Color Satellite Image Mosaicking Using Quadratic Programming in Decorrelated Color Space
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DOI：
10.1109/jstars.2015.2449233
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发表时间：
2015-07
影响因子：
5.5
通讯作者：
R. Cresson;N. Saint-Geours
中科院分区：
文献类型：
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作者：
R. Cresson;N. Saint-Geours
生成正射校正遥感图像的镶嵌是一项具有挑战性的任务，因为相邻图像之间的色度差异引入的土地利用，表面光照，大气条件和传感器。大多数现有的颜色校正方法涉及成对技术，这是有限的，当收集的图像是大量的重叠。此外，可用的技术不在适合于真彩色处理的颜色空间中操作。本文提出了一种简单而鲁棒的方法来执行多个重叠的遥感图像在自然色（RGB）的全球色度协调。我们的无参数方法同时处理任何数量的图像，任何空间布局，没有任何单一的参考图像。它是基于解决二次规划（QP）优化问题。它在lαβ去相关的颜色空间中操作，这非常适合人类对自然场景的视觉。从法国大陆的132 RapidEye彩色正射影像的镶嵌获得的结果表明，自动和有效地执行色度协调良好的潜力。
Generating mosaics of orthorectified remote sensing images is a challenging task because of the colorimetric differences between adjacent images introduced by land use, surface illumination, atmospheric conditions, and sensor. Most of the existing color correction methods involve pairwise techniques, which are limited when the collection of images is large with numerous overlaps. Besides, available techniques do not operate in a color space suited for true-color processing. This paper presents a simple and robust method to perform the global colorimetric harmonization of multiple overlapping remote sensing images in natural colors (RGB). Our parameter-free method deals simultaneously with any number of images, with any spatial layout, and without any single reference image. It is based on the resolution of a quadratic programming (QP) optimization problem. It operates in the lαβ decorrelated color space, which is well suited for human vision of natural scenes. The results obtained from the mosaicking of 132 RapidEye color orthoimages over mainland France demonstrate good potential for performing colorimetric harmonization automatically and effectively.