[1] Cao X B, Jin G, Wang Fet al. A whiskbroom imaging method for the rapidly rotated satellite with large swath: 201610565836. -09-12(2017).

[2] Cheng S Y, Zhang L, Gao W J et al. Geometric parameters analysis of large FOV space camera when rolling[J]. Infrared and Laser Engineering, 44, 1872-1877(2015).

[3] Shlien S. Geometric correction, registration, and resampling of Landsat imagery[J]. Canadian Journal of Remote Sensing, 5, 74-89(1979). http://www.tandfonline.com/doi/abs/10.1080/07038992.1979.10854986

[4] Poli D, Toutin T. Review of developments in geometric modelling for high resolution satellite pushbroom sensors[J]. The Photogrammetric Record, 27, 58-73(2012). http://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1477-9730.2011.00665.x

[5] Toutin T. State-of-the-art of geometric correction of remote sensing data: a data fusion perspective[J]. International Journal of Image and Data Fusion, 2, 3-35(2011). http://www.tandfonline.com/doi/abs/10.1080/19479832.2010.539188

[7] Wang Y K. Research of wide swath imaging technology based on area-array detector adopting whiskbroom scanning mode[D]. Shanghai: University of Chinese Academy of Science, 14-20(2015).

[8] Zhang Z C, Ding X Z, Yang B et al. Design and analysis of super large width and low distortion imaging system[J]. Journal of Infrared and Millimeter Waves, 36, 732-738(2017).

[9] Li X Y, Zhang T, Liu Z M et al. High accuracy compensation for image surface rotation of panoramic TDICCD scanning aerial camera[J]. Acta Optica Sinica, 34, 0611001(2014).

[10] Mo D L, Zhang Y S, Wang T et al. Imaging simulation of airborne linear whiskbroom camera[J]. Acta Optica Sinica, 38, 0728002(2018).

[11] Liu C, Ding Y L, Tian D P et al. Dynamic modulation transfer function analysis and research of image rotation for aerial camera[J]. Acta Optica Sinica, 37, 0211001(2017).

[12] Ding Y F, You H J, Chen S J et al. A geometric correction method for infrared whisk-broom imaging[J]. Remote Sensing Information, 33, 76-81(2018).

[13] Yang F, Jin G, Qu H S et al. Design and analysis about rapid geometric correction of space whiskbroom time delayed and integration CCD camera[J]. Acta Optica Sinica, 34, 0111001(2014).

[14] Mo D L, Zhang Y S, Wang T et al. A back projection algorithm for linear array imageries based on the constraints of object-space relation[J]. Acta Geodaetica et Cartographica Sinica, 46, 583-592(2017).

[15] Dong C, Loy C C, He K M et al. Learning a deep convolutional network for image super-resolution[M]. ∥Fleet D, Pajdla T, Schiele B, et al. Computer vision-ECCV 2014. Lecture notes in computer science. Cham: Springer, 8692, 184-199(2014).

[16] Dong C, Loy C C, He K M et al. Image super-resolution using deep convolutional networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38, 295-307(2016). http://europepmc.org/abstract/MED/26761735

[17] Deng J, Dong W, Socher R et al. ImageNet: a large-scale hierarchical image database. [C]∥2009 IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL, USA. New York: IEEE, 248-255(2009).

[18] Wang Z, Bovik A C, Sheikh H R et al. Image quality assessment: from error visibility to structural similarity[J]. IEEE Transactions on Image Processing, 13, 600-612(2004). http://ieeexplore.ieee.org/document/1284395

[19] Zeyde R, Elad M, Protter M. On single image scale-up using sparse-representations[M]. ∥Boissonnat J D, Chenin P, Cohen A, et al. Curves and surfaces. Lecture notes in computer science. Berlin, Heidelberg: Springer, 6920, 711-730(2012).

[20] Mittal A, Moorthy A K, Bovik A C. No-reference image quality assessment in the spatial domain[J]. IEEE Transactions on Image Processing, 21, 4695-4708(2012). http://www.ncbi.nlm.nih.gov/pubmed/22910118/

[21] Mittal A, Soundararajan R, Bovik A C. Making a “completely blind” image quality analyzer[J]. IEEE Signal Processing Letters, 20, 209-212(2013). http://ieeexplore.ieee.org/document/6353522

[22] Venkatanath N, Praneeth D, Bh M C et al. Blind image quality evaluation using perception based features. [C]∥2015 Twenty First National Conference on Communications (NCC), February 27-March 1, 2015, Mumbai, India. New York: IEEE, 15058962(2015).

[23] Wang Z, Sheikh H R, Bovik A C. No-reference perceptual quality assessment of JPEG compressed images. [C]∥Proceedings. International Conference on Image Processing, September 22-25, 2002, Rochester, NY, USA. New York: IEEE, I477-I480(2002).

[24] Ye P, Doermann D. No-reference image quality assessment using visual codebooks[J]. IEEE Transactions on Image Processing, 21, 3129-3138(2012). http://www.ncbi.nlm.nih.gov/pubmed/22410336