ZHANG Guo . Satellite Video Processing and Applications[J]. Journal of Applied Sciences, 2016 , 34(4) : 361 -370 . DOI: 10.3969/j.issn.0255-8297.2016.04.001

[1] 蒋永华. 国产线阵推扫光学卫星高频误差补偿方法研究[D]. 武汉:武汉大学, 2015.
[2] Valorge C, Meygret A, Lebegure L, Henry P, Bouillon A, Breton E, Gachet R, Leger D, Viallefont F. 40 years of experience with SPOT in-flight Calibration [C]//ISPRS International Workshop on Radiometric and Geometric Calibration, Gulfport, Mississippi, USA, 2003.
[3] Breton E, Bouillon A, Gachet R, Delussy F. Pre-fight and in-flight geometric calibration of SPOT5 HRG and HRS images [J]. International Archines of Photogrammetry Remote Sensing and Spatial Information Sciences, 2002, 34(1): 20-25.
[4] Bouillon A, Breton E, Delussy F, Gachet R. Spot5 HRG and HRS first in-flight geometric quality results[C]//International Symposium on Remote Sensing, International Society for Optics and Photonics, 2003: 212-223.
[5] Bouillon A, Breton E, Delussy F. Spot5 geometric image quality [C]//Proceedings of 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France. 2003: 303-305.
[6] Dial G, Bowen H, Gerlach F, Grodecki J, Oleszczuk R. Ikonos satellite, imagery, and products [J]. Remote Sensing of Environment, 2003, 88(1): 23-36.
[7] Grodecki J, Lutes J. Ikonos geometric calibrations [C]//Proceedings of the ASPRS 2005 Annual Conference, Sowth Dakota, USA, 2005.
[8] Grodecki J, Dial G. Ikonos geometric accuracy validation [J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2002, 34(1): 50-55.
[9] Grodecki J, Dial G. Ikonos geometric accuracy [C]//Proceedings of Joint Workshop of ISPRS Working Groups I/2, I/5 and IV/7 on High Resolution Mapping from Space, 2001, 4: 19-21.
[10] Tadono T, Shimada M, Watanabe M, Hashimoto T, Iwata T. Calibration and validation of PRISM onboard ALOS[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2004, 35(1): 13-18.
[11] Takaku J, Tadono T. Prism on-orbit geometric calibration and DSM performance [J]. IEEE Transactions on Geoscience and Remote Sensing, 2009, 47(12): 4060-4073.
[12] Tadono T, Shimada M, Murakami H, Takaku J. Calibration of PRISM and AVNIR-2 onboard ALOS "Daichi" [J]. IEEE Transactions on Geo-science and Remote Sensing, 2009, 47(12): 4042-4050.
[13] Jiang Y H, Zhang G, Tang X M, Li D R, Huang W C, Pan H B. Geometric calibration and accuracy assessment of Ziyuan-3 multispectral images [J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(7): 4161-4172.
[14] Zhang G, Jiang Y H, Li D R, Huang W C, Pan H B, Tang X M, Zhu X Y. In-orbit geometric calibration and validation of ZY-3 linear array sensors [J]. The Photogrammetric Record, 2014, 29(145): 68-88.
[15] Kubik P, Lebegue L, Fourest S, Delvit J M, de Lussy F, Greslou D, Blanchet G. First in-flight results of Pleiades 1A innovative methods for optical calibration [C]//Proceedings of the Inter national Conference on Space Optics (ICSO), Ajaccio, Corsica, France, 2012: 1-9.
[16] Dingluirard M, Slater P N. Calibration of space-multispectral imaging sensors: a review [J]. Remote Sensing of Environment, 1999, 68(5): 194-205.
[17] Slater P N, Biggar S F, Holm R G, Jackson R D, Mao Y, Moran M S, Palmer J M, Yuan B. Reflectance-and radiance-based methods for the in-flight absolute calibration of multispectral sensors [J]. Remote Sensing of Environment, 1987, 22(1): 11-37.
[18] Smiley B D, Chau A H, Robinson M D. SkySat-1: very high-resolution imagery from a small satellite [C]//Proceedings of SPIE 9241, Sensors, Systems and Next-Generation Satellites October 7, 2014, XVIII: 92411E.
[19] Thomas C S, Hugh H K, Kris J B. Modeling the radiance of the moon for on-orbit calibration[J]. Proceedings of SPIE, 2003, 5151: 463-470.
[20] Vincent M, Gwendoline B, Philippe K, Sophie L, Christophe L, Laurent L, Florie L, Florence P N. Pleiades-HR 1A&1B image quality commissioning: innovative radiometric calibration methods and results [J]. Proceedings of SPIE, The International Society for Optical Engineering, 2013, 8866: 886610.
[21] 刘祥磊, 童小华, 马静. 视频测量影像序列椭圆形人工目标点快速识别和跟踪方法[J]. 测绘学 报, 2015, 44(6): 663-669. Liu X L, Tong X H, Ma J. A systemic algorithm of elliptical artificial targets identification and tracking for image sequences from videogrammetry [J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(6): 663-669. (in Chinese)
[22] 吉淑娇, 朱明, 胡汉平. 基于特征点匹配的电子稳像技术[J]. 中国光学, 2013, 6(6): 841-849. Ji S J, Zhu M, Hu H P. Aero-borne electronic image stabilization based on feature point matching[J]. Chinese Optics, 2013, 6(6): 841-849. (in Chinese)
[23] Kim T, Lee S, Paik J. Combined shape and feature-based video analysis and its application to non-rigid object tracking [J]. IET Image Processing, 2011, 5(1): 87-100.
[24] Kiran M, Michael S, Byron D S. SkySat-1: very high-resolution imagery from a small satellite[C]//Proceeding of SPIE 9241, Sensors, Systems, and Next-Generation Satellites XVIII, 2014, 9241: 588-642.
[25] 王霞, 张过, 沈欣, 李贝贝, 蒋永华. 顾及像面畸变的卫星视频稳像[J]. 测绘学报, 2016, 45(2): 194-198. Wang X, Zhang G, Shen X, Li B B, Jiang Y H. Satellite video stabilization with geometric distortion [J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(2): 194-198. (in Chinese)
[26] Park S C, Park M K, Kang M G. Super-resolution image reconstruction: a technical overview[J]. IEEE on Signal Processing Magazine, 2003, 20(3): 21-36.
[27] Murthy K, Shearn M, Smiley B D. SkySat-1: very high-resolution imagery from a small satellite[C]//SPIE Remote Sensing. International Society for Optics and Photonics, 2014: 92411E.
[28] 黎俊, 彭启民, 范植华. 亚像素级图像配准算法研究[J]. 中国图象图形报, 2008, 13(11): 2070-2075. Li J, Peng Q M, Fan Z H. A survey of sub-pixel image registration Methods [J]. Journal of Image and Graphics, 2008, 13(11): 2070-2075. (in Chinese)
[29] Nasrollahi K, Moeslund T B. Super-resolution: a comprehensive survey [J]. Machine Vision & Applications, 2014, 25(6): 1423-1468.
[30] 袁小华, 欧阳晓丽, 夏德深. 超分辨率图像恢复研究综述[J]. 地理与地理信息科学, 2006, 22(3): 43-47. Yuan X H, Ou-Yang X L, Xia D S. A review of super-resolution image restoration [J]. Geography and Geo-information Science, 2006, 22(3): 43-47. (in Chinese)
[31] 苏衡, 周杰, 张志浩. 超分辨率图像重建方法综述[J]. 自动化学报, 2011, 39(8): 1202-1213. Su H, Zhou J, Zhang Z H. Survey of super-resolution image reconstruction methods [J]. Acta Automatica Sinica, 2011, 39(8): 1202-1213. (in Chinese)
[32] Deyun C, Zhiqiang L, Ming G. A superresolution image reconstruction algorithm based on landweber in electrical capacitance tomography [J]. Mathematical Problems in Engineering, 2013: 128172
[33] Elad M, Hel-Or Y. A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur [J]. IEEE Transactions on Image Processing, 2001, 10(8): 1187-1193.
[34] Goto T, Kawamoto Y, Sakuta Y. Learning-based super-resolution image reconstruction on multi-core processor [J]. IEEE Transactions on Consumer Electronics, 2012, 58(3): 941-946.
[35] Li X, Du Y, Feng L. Super-resolution mapping of forests with bitemporal different spatial resolution images based on the spatial-temporal Markov random field [J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2014, 7(1): 29-39.
[36] Sobrala, Vacavant A. A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos [J]. Computer Vision and Image Understanding, 2014, 122: 4-21.
[37] 陈星明, 廖娟, 李勃, 陈启美. 动态背景下基于改进视觉背景提取的前景检测[J]. 光学精密工 程, 2014, 22(9): 2545-2552. Chen X M, Liao J, Li B, Chen Q M. Foreground detection based on modified ViBe in dynamic background [J]. Optics and Precision Engineering, 2014, 22(9): 2545-2552. (in Chinese)
[38] 刘天良, 郑海红, 罗圣美. 改进的混合动静态背景的分割方法[J]. 西安交通大学学报, 2015, 49(2): 25-30. Liu T L, Zheng H H, Luo S M. An improved subtraction algorithm of background with stationary and non-stationary scenes [J]. Journal of Xi'an Jiaotong University, 2015, 49(2): 25-30. (in Chinese)
[39] Olivier B Vanroogenbroeck M. ViBe: a universal background subtraction algorithm for video sequences [J]. IEEE Transactions on Image Processing, 2011, 20(6): 1709-1724.
[40] Heras Evangelio R H, Patzold M, Keller I. Adaptively splitted GMM with feedback improvement for the task of background subtraction [J]. IEEE Transactions on Information Forensics and Security, 2014, 9(5): 863-874.
[41] Zdenk K, Krystian M, Jiri M. Tracking learning detection [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2012, 34(7): 1409-1422.
[42] Luca Z, Alessio D B, Xavier L. Joint estimation of segmentation and structure from motion[J]. Computer Vision and Image Understanding, 2013, 117(2): 113-129.
[43] Henriques J F, Caseiro R, Martins P, Batista J. High-speed tracking with kernelized correlation filters [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2015, 37(3): 583-596.
[44] Ido L. Mean shift trackers with cross-bin metrics [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, 34(4): 695-706,
[45] Xu J, Lu Y, Liu J. Robust tracking via weighted spatio-temporal context learning [J]. IEEE International Conference on Image Processing, 2014: 413-416.
[46] Laurentini A. The visual hull concept for silhouette-based image understanding [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1994, 16(2): 150-162.
[47] Martin W, Aggarwal N. Volumetric descriptions of objects from multiple views [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1983, 5(2): 150-158.
[48] Seitz S M, Curless B, Diebel J. A comparison and evaluation of multi-view stereo reconstruction algorithms [C]//Proceeding of the IEEE Computer Vision and Pattern Recognition, 2006, 1: 519-526.
[49] Carlos H, Vogiatzis G, Cipolla R. Multiview photometric stereo [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(3): 548-554.
[50] Li Z, Brian C, Aaron H, Steven M. Seitz shape and motion under varying illumination: unifying structure from motion, photometric stereo, and multi-view stereo [C]//Ninth IEEE International Conference on Computer Vision, 2003: 618-625.