光电工程, 2009, 36 (1): 82, 网络出版: 2009-10-09  

基于被动图像的探测器着陆过程中岩石检测

Rock Detection in the Landing of Lunar Probe Based on Passive Image
作者单位
1 南京航空航天大学 自动化学院,南京 210016
2 南京航空航天大学 自动化学院;高新技术研究院,南京 210016
摘要
基于图像的月球表面障碍自主检测技术是实现探测器在月球表面安全着陆的关键。本文主要研究了基于被动图像的月球表面障碍物之一的岩石的检测技术。首先将最大二维熵阈值分割用于岩石阴影的检测;其次将岩石轮廓线提取技术与阴影检测结果结合以获取精确的拟合椭圆中心点;最后,利用椭圆拟合岩石所在的区域范围。实验表明:相较于传统的仅基于阴影的算法,本文提出的岩石障碍检测算法能更好地拟合出岩石所在区域范围。
Abstract
For autonomous landing of lunar probe, to develop autonomous landing and hazard avoidance technology is very necessary and the key of this technology is hazard detection. The focus of this paper was to present an algorithm for autonomous rock (one kind of hazard on moon surface) detection based on passive images. The paper could be divided into three parts. Firstly, Maximum 2D Entropy Thresholding was employed for detection of rock shadow. Secondly, the result of shadow detection was combined with rock contour extraction for more precise center point of ellipse which describes rock area. Finally, the parameters of this ellipse were computed and rock areas were confirmed. Experimental studies demonstrate that the algorithm of rock detection can describe scope of rock area more successfully than only shadow-based method.
参考文献

[1] Epp C D,Smith T B. Autonomous Precision Landing and Hazard Detection and Avoidance Technology[C]// Proceedings of IEEE Aerospace Conference. Houston:NASA,2007:1-7.

[2] Andres Huertas,Cheng Yang,Madison R. Passive imaging Based Multi-cue Hazard Detection for Spacecraft Safe Landing[C]//Proceedings of IEEE Aerospace Conference. Big Sky,Montana:Pasadena,CA,2006,2:18-28.

[3] Amidi O,Kanade T,Fujita K. A visual odometer for autonomous helicopter flight [J]. Journal of Robotics and Autonomous Systems(S0921-8890),1999,28:185-193.

[4] Castano R,Judd M,Estlin T,et al. Current Results from a Rover Science Data Analysis System[C]// Proceedings of IEEE Aerospace Conference. Big Sky,Montana:Pasadena,CA,2005,2:356-365.

[5] Castano R,Estlin T,Gaines D,et al. Onboard Autonomous Rover Science[C]//Proceedings of IEEE Aerospace Conference. Big Sky,Montana:Pasadena,CA,2007,2:1-13.

[6] Song Y H. Automated Rock Segmentation for Mars Exploration Rover Imagery[C]//39th Lunar and Planetary Science Conference,(Lunar and Planetary Science XXXIX). League City,Texas:[s.n.],2008:2043-2051.

[7] Gulick V C,Morris R L,Ruzon M A,et al. Autonomous image analysis during the 1999 Marsrokhod rover field test [J]. Geophysical Research,2001,106(E4):7745-7764.

[8] Matthies L,Huertas A,Cheng Yang,et al. Landing hazard detection with stereo vision and shadow analysis[C]// AIAA Infotech at Aerospace Conference. Rohnert Park,CA:[s.n.],2007:1244-1253.

[9] Matthies L,Huertas A,Cheng Yang,et al. Stereo vision and shadow analysis for landing hazard detection[C]// IEEE International Conference on Robotics and Automation (ICRA). Pasadena,CA:IEEE,2008:2735-2742.

[10] David R Thompson,Trey Smith,David Wettergreen. Data Mining During Rover Traverse:From Images to Geologic Signatures[C]// 8th International Symposium on Artificial Intelligence,Robotics and Automation in Space,Haus der Bayerischen Wirtschaft München,Germany:[s.n.],2005:324-335.

[11] Gor V,Castano R,Manduchi R,et al. Autonomous rock detection for Mars terrain[C]// Space 2001.The Odyssey Continues Conference and Exposition, August 13–17,2001:2011-2018.

[12] Cheng Yang,Goguen Jay,Johnson Andrew,et al. The Mars Exploration Rovers Descent Image Motion Estimation System [J]. IEEE Intelligent Systems(S1541-1672),2004,19(3):13-21.

[13] 夏良正. 数字图像处理 [M]. 南京:东南大学出版社,2000:224-226.

    XIA Zheng-liang. Digital Image Processing [M]. Nanjing:Southeast Press,2000:224-226.

[14] BANDEIRA Lourengo,SARAIVA José,PINA Pedro. Impact Crater Recognition on Mars Based on a Probability Volume Created by Template Matching [J]. IEEE Transactions on Geoscience and Remote Sensing (S0196-2892),2007,45(12):4008-4015.

丁萌, 曹云峰, 吴庆宪. 基于被动图像的探测器着陆过程中岩石检测[J]. 光电工程, 2009, 36(1): 82. DING Meng, CAO Yun-fenga, WU Qing-xian. Rock Detection in the Landing of Lunar Probe Based on Passive Image[J]. Opto-Electronic Engineering, 2009, 36(1): 82.

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