Abstract
Image registration techniques for detecting moving targets in space require high temporal resolution and multispectral images to improve the target detection probability and reduce the false positive rate. At present, image registration accuracy is affected by the effective number of common multispectral registration control points as well as its stability. Image registration based on on-orbit stellar trajectory measurement can be used to perform on-orbit modifications of registration deviation caused by thermal distortions during launch. This study proposes a new image registration method based on the on-orbit detection of stars by using the stellar trajectory on a camera’s focal plane. A generated 12 × 12 data template and the Lagrange interpolation method are used in the registration model. Multispectral image registration based on stellar trajectory fitting can achieve high-precision image registration among different spectra.
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References
Chen, Y.Y.: Research on Midwave Infrared On-Orbit Radiation Calibration Method Based on Stellar Observation. Chinese Academy of Meteorological Sciences, Beijing (2016)
Dong, Y., Long, T., Jiao, W., et al.: A novel image registration method based on phase correlation using low-rank matrix factorization with mixture of Gaussian. IEEE Trans. Geosci. Remote Sens. 11(99), 1–15 (2017)
Gao, M., Wang, J., Xu, W., et al.: High-resolution over-sampling reconstruction algorithm for a microscanning thermal microscope imaging system. Infrared Phys. Technol. 76, 661–666 (2016)
Jia, J., Wang, Y., Zhuang, X., et al.: High spatial resolution shortwave infrared imaging technology based on time delay and digital accumulation method. Infrared Phys. Technol. 81, 305–312 (2017)
Li, B., Wang, X., Yang, H.: Registration of multi-sensor images based on enhanced STAR algorithm. In: International Congress on Image and Signal Processing, pp. 381–386. IEEE (2016)
Liu, Z., Ma, Y., Huang, J., et al.: A registration based nonuniformity correction algorithm for infrared line scanner. Infrared Phys. Technol. 76, 667–675 (2016)
Palubinskas, G., Reinartz, P. Template based matching of optical and SAR imagery. In: Urban Remote Sensing Event, Joint, pp. 1–4. IEEE (2015)
Shao, G., Yao, F., Malkani, M.J.: Aerial image registration based on joint feature-spatial spaces, curve and template matching. In: International Conference on Information and Automation, pp. 863–868. IEEE (2008)
Shi, Q., Ma, G., Zhang, F., et al.: Robust image registration using structure features. IEEE Geosci. Remote Sens. Lett. 11(12), 2045–2049 (2014)
Su, X.F.: Research on High Sensitivity Detection Method of Space Area Staring Array Gaze Detection System. University of Chinese Academy of Sciences, Beijing (2015)
Tang, C., Tian, G.Y., Chen, X., et al.: Infrared and visible images registration with adaptable local-global feature integration for rail inspection. Infrared Phys. Technol. 87, 31–39 (2017)
Wang, Y.D., Chen, F.S.: Calibration of inner orientation elements and distort correction for large diameter space mapping camera. Opt. Precis. Eng. 24(10s), 675–681 (2016)
Wang, Y.M., Xie, F., Wang, J.Y.: Short-wave infrared signature and detection of aircraft in flight based on space-borne hyperspectral imagery. Chin. Opt. Lett. 12, 132–135 (2016)
Wei, L., Xiao, X., Wang, Y., et al.: Research on the shortwave infrared hyperspectral imaging technology based on integrated stepwise filter. Infrared Phys. Technol. 86, 90–97 (2017)
Wu, Y., Ma, W., Gong, M., et al.: A novel point-matching algorithm based on fast sample consensus for image registration. IEEE Geosci. Remote Sens. Lett. 12(1), 43–47 (2017)
Xiu, H.-N., Zhu, S.-Y., Cui, P.-Y.: Deep space moving target detection based on technology of image matching (2014). https://doi.org/10.1109/CCDC.2014.6852743
Xu, Z., Zhang, L., Xing, M.: Precise cross-range scaling for ISAR images using feature registration. IEEE Geosci. Remote Sens. Lett. 11(10), 1792–1796 (2014)
Yahyanejad, S., Rinner, B.: A fast and mobile system for registration of low-altitude visual and thermal aerial images using multiple small-scale UAVs. Isprs J. Photogramm. Remote Sens. 104, 189–202 (2015)
Yu, X.C., L(U), Z.H., D, Hu: Review of remote sensing image registration techniques. Opt. Precis. Eng. 21(11), 2960–2972 (2013)
Zaletelj, J.: Reliable subpixel ground control point estimation algorithm using vector roads. IEEE Geosci. Remote Sens. Lett. 13(9), 1325–1329 (2016)
Zhang, H.M., You, H.J.: A gradient structure based registration method for space-borne infrared image and panchromatic image. J. Infrared Millim. Waves 32(3), 270–276 (2013)
Zhang, Z.X., Li, J.Z., Li, D.D.: Research of automated image registration technique for infrared images based on optical flow field analysis. J. Infrared Millim. Waves 22(4), 307–312 (2003)
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Liu, Y., Yang, L. & Chen, FS. Multispectral registration method based on stellar trajectory fitting. Opt Quant Electron 50, 189 (2018). https://doi.org/10.1007/s11082-018-1458-4
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DOI: https://doi.org/10.1007/s11082-018-1458-4