联合全局优化和光照补偿的航空影像色彩一致性处理算法

Color consistency processing algorithm for aerial images based on joint global optimization and illumination compensation

本文针对航空影像在采集过程中常遇到的光照不均和色调差异等问题,提出一种联合全局优化和光照补偿的大范围航空遥感影像设计的色彩一致性处理算法。算法充分考虑航空摄影的独特拍摄特性与影像成像规律,在全局优化方面,精确估算出测区影像的色彩校正系数,对整个测区的影像色彩进行统一调整,确保校正系数能够真实反映影像的实际状况。同时,为解决遥感影像拍摄中局部光照不均问题,对影像局部光照特征进行分析,并进行实时调整补偿,进一步提升了影像的视觉质量与可读性。实验结果表明,本文方法处理的航空影像在色彩一致性和光照均匀性方面均有显著优势。相较于传统方法,本文方法不仅在处理速度上更胜一筹,而且更为稳定与可靠。

In this paper,a color consistency processing algorithm for large-scale aerial remote sensing image design based on joint global optimization and illumination compensation was proposed to solve the problems of uneven illumination and tone difference in aerial image acquisition.The algorithm fully considered the unique shooting characteristics and imaging laws of aerial photography.In terms of global optimization,it accurately estimated the color correction coefficient of the image in the measuring area and uniformly adjusted the color of the image in the whole measuring area to ensure that the correction coefficient could truly reflect the actual condition of the image.At the same time,in order to solve the problem of uneven local illumination in remote sensing image shooting,the local illumination characteristics of the image were analyzed,and real-time adjustment compensation was carried out to further improve the visual quality and readability of the image.The experimental results show that the aerial images processed by this method have significant advantages in color consistency and illumination uniformity.Compared with the traditional method,the proposed method has better processing speed and is more stable and reliable.