Agarwal S, Furukawa Y, Snavely N, Simon I, Curless B, Seitz SM, Szeliski R. (2011) Building Rome in a Day. Communications of the ACM, Vol. 54, No. 10, Pages 105-112.

Fu KS, (1983) A step towards unification of syntactic and statistical pattern-recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 5(2) :200-205.

Gong P, Chen B, Li XC, et al. (2020) Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018. Science Bulletin, 65(3):182-187.

Gong P, Howarth PJ, (1989) Performance analyses of probabilistic relaxation methods for land-cover classification. Remote Sensing of Environment. 30(1):33-42.

Gong P, Howarth PJ, (1992) Frequency-based contextual classification and gray-level vector reduction for land-use identification‎. Photogrammetric Engineering and Remote Sensing. 58(4):423-437.

Haralick RM, Shanmugam K, Dinstein I, (1973) Textural features for image classification. IEEE Transactions on Systems Man and Cybernetics. 3(6):610-621.

Huang H, Wang J, Liu C, et al. (2020). The migration of training samples towards dynamic global land cover mapping. ISPRS Journal of Photogrammetry and Remote Sensing, 161, 27-36.

Li CC, Wang J, Wang L, et al. (2014). Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery. Remote Sensing. 6, 964-983

Li WJ，Fu HH, Yu L, et al. (2016). Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping. International Journal of Remote Sensing. 37(23):5632-5646

McKeown DM, (1984). Knowledge-based aerial photo interpretation. Photogrammetria 39(3): 91-123.

Nagao M, Matsuyama T, Ikeda Y. (1979). Region extraction and shape analysis in aerial photographs. Computer Graphics and Image Processing. 10(3):195-223.

Rumelhart DE, Hinton GE and Williams RJ, (1986). Learning internal representations by error propagation. In Parrall Distributed Processing – Explorations in the Microstructure of Cognition. Edited by D.E. Rumelhart and J.L. McLeland, MIT Press, Cambridge, M.A.,Vol. 1, pp.318-362.

Woodcock CE, Strahler AH, (1987). The factor of scale in remote sensing. Remote Sensing of Environment. 21, 311-332.

Le Yu, Lu Liang, Jie Wang, Yuanyuan Zhao, et al. (2014). Meta-discoveries from a synthesis of satellite-based land-cover mapping research, International Journal of Remote Sensing, 35(13), 4573-4588.

Gong P, Zhang W, Yu L, Li C C, Wang J, Liang L, Li X C, Ji L Y, Bai Y Q. 2016. New research paradigm for global land cover mapping.Journal of Remote Sensing, 20(5): 1002-1016

宫鹏, 张伟, 俞乐, 等. 2016. 全球地表覆盖制图研究新范式. 遥感学报, 20(5), 1002-1016）DOI: 10.11834/jrs.20166138http://dx.doi.org/10.11834/jrs.20166138

Liu H, Gong P. 2021. 21st century daily seamless data tube reconstruction and seasonal to annual land cover and land use dynamics. National Remote Sensing Bulletin. 25(1): 126-147 (刘涵，宫鹏，(2021). 21世纪逐日无缝数据立方体构建方法及逐年逐季节土地覆盖和土地利用动态制图—中国智慧遥感制图iMap (China) 1.0. 遥感学报. 25(1), 126-147) [DOI: 10.11834/jrs.20210580http://dx.doi.org/10.11834/jrs.20210580]