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图像融合在空间目标三维重建中的应用

Application of image fusion in 3D reconstruction of space target

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摘要

图像融合可以获取目标更加丰富的层次和细节信息, 有利于对探测目标信息的有效地获取, 在包括空间目标的三维重建等应用中有着重要意义。针对空间目标的宽动态范围提出了一种多次曝光的图像融合方法, 利用信息熵的非线性压缩判定图像融合权重, 并引入双边滤波残差加强弱纹理的分配权重, 有效地增加了图像的特征信息, 提高了三维重建点云的数量。利用提出的融合方法开展了空间目标模拟成像试验, 采用融合的图像对目标三维重建, 并与多种不同曝光程度以及采用其他融合图像的方法进行了对比, 提出的方法得到的重建点云数量相对恰当曝光状态提高了35%, 重建结果优于其他方法。结果表明: 将图像融合引入到三维重建中, 能有效地加强了重建图像信息, 避免了光照条件对目标三维重建的不利影响, 获得较高质量的重建效果, 该方法可以很好地应用到基于图像序列的空间目标三维重建应用中。

Abstract

Image fusion can obtain the richer level and detail information, which is beneficial to the effective acquisition of the detection target information. It is of great significance in applications including 3D reconstruction of space targets. A multi-exposure image fusion method that the non-linear compression of information entropy was used to determine the image fusion weight and the bilateral filter residual was introduced to enhance the weight of the weak texture for the wide dynamic range of space objects proposed. It effectively increased the feature information of the image and the number of 3D reconstruction cloud points. The space object imaging experiment was carried out by using the fusion method. The number of reconstructed point clouds obtained was improved by 35% compared with well-exposure and the reconstruction results were better than other methods. The results show that 3D reconstruction algorithm based on image sequence combined with image fusion could effectively enhance the reconstructed image information and avoid the adverse effects of illumination conditions on the three-dimensional reconstruction of the target, resulting in high quality reconstruction effect, the method can be well applied to the three-dimensional reconstruction of space targets based on image sequences.

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补充资料

中图分类号:TP391

DOI:10.3788/irla201847.0926002

所属栏目:信息获取与辨识

基金项目:国家863计划(Y4X02073N3X)

收稿日期:2018-04-05

修改稿日期:2018-05-03

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作者单位    点击查看

杨洪飞:中国科学院上海技术物理研究所, 上海 200083中国科学院大学, 北京 100049中国科学院红外探测与成像技术重点实验室, 上海 200083
夏 晖:中国科学院上海技术物理研究所, 上海 200083中国科学院红外探测与成像技术重点实验室, 上海 200083
陈 忻:中国科学院上海技术物理研究所, 上海 200083中国科学院红外探测与成像技术重点实验室, 上海 200083
孙胜利:中国科学院上海技术物理研究所, 上海 200083中国科学院红外探测与成像技术重点实验室, 上海 200083
饶 鹏:中国科学院上海技术物理研究所, 上海 200083中国科学院红外探测与成像技术重点实验室, 上海 200083

联系人作者:杨洪飞(410055346@qq.com)

备注:杨洪飞(1988-), 男, 博士生, 主要从事空间遥感图像信息处理方面的研究。

【1】Zhang Haopeng, Wei Quanmao, Zhang Wei, et al. Sequential-image-based space object 3D reconstruction[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(2): 273-279. (in Chinese)
张浩鹏, 魏全茂, 张威, 等. 基于序列图像的空间目标三维重建[J]. 北京航空航天大学学报, 2016, 42(2): 273-279.

【2】Sun C M, Yuan Y, Zhou Z. Modeling for space-based visible imaging characteristics of space object[C]//SPIE Optical Engineering Applications, 2015, 9598: 959807.

【3】Bruce N D B. ExpoBlend: Information preserving exposure blending based on normalized log-domain entropy[J]. Computers & Graphics, 2014, 39(2): 12-23.

【4】Mertens T, Kautz J, Reeth F V. Exposure fusion[C]//Conference on IEEE Computer Graphics and Applications, 2007: 382-390.

【5】Jiang W F, Zhang F, Chen Z B. Image filtering based on structural information: US, US8965141[P]. 2015.

【6】Reinhard E, Devlin K. Dynamic range reduction inspired by photoreceptor physiology[C]//IEEE Educational Activities Department, 2005.

【7】Fraundorfer F, Scaramuzza D. Visual odometry: Part Ⅱ-matching, robustness, and application[C]//IEEE, 2012, 19(2): 78-90.

【8】Sch 觟nberger J L, Frahm J M. Structure-from-Motion revisited[C]//CVPR, 2016: 445.

【9】Crocco M, Rubino C, Bue A D. Structure from Motion with objects[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2016: 4141-4149.

【10】Furukawa Y, Ponce J. Accurate, dense, and robust multi-view stereopsis[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2007: 1-8.

引用该论文

Yang Hongfei,Xia Hui,Chen Xin,Sun Shengli,Rao Peng. Application of image fusion in 3D reconstruction of space target[J]. Infrared and Laser Engineering, 2018, 47(9): 0926002

杨洪飞,夏 晖,陈 忻,孙胜利,饶 鹏. 图像融合在空间目标三维重建中的应用[J]. 红外与激光工程, 2018, 47(9): 0926002

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