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Abstract: To ensure the safety and reliability of spacecraft during multiple space missions, it is necessary to conduct in-situ nondestructive detection of the spacecraft to judge the damage caused by the hypervelocity impact of micrometeoroids and orbital debris (MMOD). In this paper, we propose an innovative quantitative assessment method based on damage reconstructed image mosaic technology. First, a Gaussian mixture model clustering algorithm is applied to extract images that highlight damage characteristics. Then, a mosaicking scheme based on the ORB feature extraction algorithm and an improved M-estimator SAmple Consensus (MSAC) algorithm with an adaptive threshold selection method is proposed which can create large-scale mosaicked images for damage detection. Eventually, to create the mosaicked images, the damage characteristic regions are segmented and extracted. The location of the damage area is determined and the degree of damage is judged by calculating the centroid position and the perimeter quantitative parameters. The efficiency and applicability of the proposed method are verified by the experimental results.

大尺寸检查中航天器损伤定量评估

[1]Adushkin V, Aksenov OY, Veniaminov S, et al., 2020. The small orbital debris population and its impact on space activities and ecological safety. Acta Astronaut, 176:591-597.

[2]Arnold J, Christiansen EL, Davis A, et al., 2009. Handbook for Designing MMOD Protection. Technical Report No. JSC-64399, Version A, National Aeronautics and Space Administration, Texas, USA.

[3]Bay H, Ess A, Tuytelaars T, et al., 2008. Speeded-up robust features (SURF). Comput Vis Image Underst, 110(3):346-359.

[4]Chandrakanth T, Sandhya B, 2015. Quality assessment of images using SSIM metric and CIEDE2000 distance methods in Lab color space. Proc 3^rd Int Conf on Frontiers of Intelligent Computing: Theory and Applications, p.457-464.

[5]Chen XR, Wang MN, Song ZJ, 2015. Global optimization surface-based registration for image-to-patient registration using Gaussian mixture model. J Med Imag Health Inform, 5(8):1870-1874.

[6]Cheng YH, Tian LL, Yin C, et al., 2018. Research on crack detection applications of improved PCNN algorithm in moi nondestructive test method. Neurocomputing, 277:249-259.

[7]Dua G, Arora V, Mulaveesala R, 2021. Defect detection capabilities of pulse compression based infrared non-destructive testing and evaluation. IEEE Sens J, 21(6):7940-7947.

[8]Fida E, Baber J, Bakhtyar M, et al., 2017. Unsupervised image segmentation using Lab color space. Proc Intelligent Systems Conf, p.774-778.

[9]Gao B, Bai LB, Woo WL, et al., 2014. Automatic defect identification of eddy current pulsed thermography using single channel blind source separation. IEEE Trans Instrum Meas, 63(4):913-922.

[10]Huang XG, Yin C, Dadras S, et al., 2018. Adaptive rapid defect identification in ECPT based on K-means and automatic segmentation algorithm. J Amb Intell Human Comput.

[11]Huang XG, Yin C, Ru HQ, et al., 2020. Hypervelocity impact damage behavior of B₄C/Al composite for MMOD shielding application. Mater Des, 186:108323.

[12]Karnati S, Liou FF, 2020. Detection and tracking of melt pool in blown powder deposition through image processing of infrared camera data. In: Sergiyenko O, Flores-Fuentes W, Mercorelli P (Eds.), Machine Vision and Navigation. Springer, Cham, p.711-732.

[13]Kaur K, Mulaveesala R, 2020. Efficient selection of independent components for inspection of mild steel sample using infrared thermography. Electron Lett, 56(19):990-993.

[14]Khan AA, Vrabie V, Mars JI, et al., 2008. A source separation technique for processing of thermometric data from fiber-optic DTS measurements for water leakage identification in dikes. IEEE Sens J, 8(7):1118-1129.

[15]Lamb H, 2018. Space agencies turn focus on small space debris. Eng Technol, 13(1):48-49.

[16]Laraqui A, Saaidi A, Satori K, 2018. MSIP: multi-scale image pre-processing method applied in image mosaic. Multimed Tools Appl, 77(6):7517-7537.

[17]Li Y, Ming AB, Mao H, et al., 2019. Detection and characterization of mechanical impact damage within multi-layer carbon fiber reinforced polymer (CFRP) laminate using passive thermography. IEEE Access, 7:27689-27698.

[18]Liang T, Ren WW, Tian GY, et al., 2016. Low energy impact damage detection in CFRP using eddy current pulsed thermography. Compos Struct, 143:352-361.

[19]Lowe DG, 2004. Distinctive image features from scale-invariant keypoints. Int J Comput Vis, 60(2):91-110.

[20]Magri L, Fusiello A, 2017. Multiple structure recovery via robust preference analysis. Image Vis Comput, 67:1-15.

[21]Qiu L, Fang F, Yuan SF, 2019. Improved density peak clustering-based adaptive Gaussian mixture model for damage monitoring in aircraft structures under time-varying conditions. Mech Syst Signal Process, 126:281-304.

[22]Rajic N, 2002. Principal component thermography for flaw contrast enhancement and flaw depth characterisation in composite structures. Compos Struct, 58(4):521-528.

[23]Richter F, Ries CX, Romberg S, et al., 2014. Partial contour matching for document pieces with content-based prior. Proc IEEE Int Conf on Multimedia and Expo, p.1-6.

[24]Rublee E, Rabaud V, Konolige K, et al., 2011. ORB: an efficient alternative to SIFT or SURF. Proc Int Conf on Computer Vision, p.2564-2571.

[25]Smurov IY, Dubenskaya MA, Zhirnov IV, et al., 2016. Determination of the true temperature during selective laser melting of metal powders based on measurements with an infrared camera. Meas Technol, 59(9):971-974.

[26]Surya Kumari D, Bhavani SA, 2017. A new iterative hybrid edge technique using image mosaic. In: Satapathy SC, Bhateja V, RajuK S, et al. (Eds.), Computer Communication, Networking and Internet Security. Springer, Singapore, p.235-243.

[27]Yin C, Xue T, Huang XG, et al., 2019. Research on damages evaluation method with multi-objective feature extraction optimization scheme for M/OD impact risk assessment. IEEE Access, 7:98530-98545.

[28]Yin C, Huang XG, Cao JW, et al., 2021. Infrared feature extraction and prediction method based on dynamic multi-objective optimization for space debris impact damages inspection. J Franklin Inst, 358(18):10165-10192.

[29]Zhang HN, Huang XG, Yin C, et al., 2020. Design of hypervelocity-impact damage evaluation technique based on Bayesian classifier of transient temperature attributes. IEEE Access, 8:18703-18715.

[30]Zhang WP, Li XJ, Yu JF, et al., 2018. Remote sensing image mosaic technology based on SURF algorithm in agriculture. EURASIP J Image Video Process, 2018:85.