利用光照模型的月球勘测轨道器窄角相机南极地区影像快速预筛选方法  

A Quick Prefiltering Method for LRO NAC Images Based on Illumination Simulation with Application to Lunar South Pole

作　　者：黄潜 刘世杰 黄荣[1,2] 谢晓欢 童小华[1,2] HUANG Qian;LIU Shijie;HUANG Rong;XIE Xiaohuan;TONG Xiaohua(College of Surveying and Geographic Informatics,Tongji University,Shanghai 200092,China;Shanghai Key Laboratory of Space Mapping and Remote Sensing for Planetary Exploration,Tongji University,Shanghai 200092,China)

机构地区：[1]同济大学测绘与地理信息学院,上海200092 [2]同济大学上海市航天测绘遥感与空间探测重点实验室,上海200092

出　　处：《遥感信息》2024年第3期75-81,共7页Remote Sensing Information

基　　金：国家自然科学基金(42221002、42171432);上海市高新技术领域项目(21511103800)。

摘　　要：针对月球南极地区光照条件复杂、轨道器影像中多阴影、覆盖感兴趣区域(range of interest,RoI)的有效影像筛选困难的问题,提出了一种利用光照模型的月球勘测轨道器(lunar reconnaissance orbiter,LRO)窄角相机(narrow-angle camera,NAC)南极地区影像快速预筛选方法。使用月球南极地区的光照模型计算出LRO NAC影像拍摄时刻下RoI内的入射光照条件,进而通过约束RoI内被影像覆盖并且有光照的总面积,实现无需下载影像数据的LRO NAC影像快速预筛选。对于3个16 km×16 km的RoI,在该文实验环境下,平均处理一幅影像仅需0.005 s,约66.2%的LRO NAC影像被筛除,相比不考虑光照条件的传统预筛选方法多筛除19.6%的影像,证明了该方法的有效性。使用101幅LRO NAC影像对筛选准确率进行检验,仅出现两次错检,没有漏检,检验和筛选的准确率在98%左右,证明了该方法的可靠性。Aiming at the problems of complex illumination conditions in the lunar polar regions,multiple shadows in the orbiter images,and difficulties in filtering effective images covering the range of interest(RoI),a quick prefiltering method for lunar reconnaissance orbiter(LRO)narrow-angle camera(NAC)images based on illumination simulation is proposed.The method uses the lunar illumination model to calculate the incident illumination conditions in the RoIs at the moment when the LRO NAC images are captured,and then realizes the quick prefiltering of LRO NAC images without downloading any image data by constraining the total area in the RoIs that is covered by the images and illuminated.For three 16 km×16 km RoI,the average processing of an image in our experimental environment takes only 0.005 s.About 66.2%of the LRO NAC images are filtered out,and about 19.6%more images are filtered out compared with the conventional prefiltering method that does not take into account the illumination conditions,which proves the effectiveness of the proposed method.Using 101 LRO NAC images to test the filtering accuracy,there are only two misdetections and no misses,and the accuracy of the filtering is around 98%,demonstrating the reliability of the proposed method.

关 键 词：LRO NAC 光照模拟 地形 星历 影像预筛选 月球南极 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]