Publications - 2016

· Chen, J., Dowman, I., Li, S., Li Zhilin., Madden, M., Mills, J., Paparoditis, N. and Heipke, C., 2016. Information from imagery: ISPRS scientific vision and research agenda. ISPRS Journal of Photogrammetry and Remote Sensing, 115: 3-21.

· Heipke, C., Madden, M., Li Zhilin, Dowman, I., 2016. Theme issue “State-of-the-art in photogrammetry, remote sensing and spatial information science”. ISPRS Journal of Photogrammetry and Remote Sensing, 115: 1-2.

· LI Zhilin, LIU Q. and GAO P., 2016. Entropy-based Cartographic Communication Models: Evolution from Special to General Cartographic Information Theory. Acta Geodaetica et Cartographica Sinica, 45(7): 757-767.

· LU N., ZHANG W., CHEN, L., and LI Zhilin, 2015. Estimation of Large Regional Urban and Rural Population Density Based on the Differences of Population Distribution between Urban and Rural: Shandong Province as Example. Acta Geodaeticaet CartographicaSinica, 44(12): 1384-1391.

· Ti, P., Li Zhilin, Xu, Z. and Jia, H., 2016. Optimizing the balance between area and orientation distortions for variable-scale maps. ISPRS Journal of Photogrammetry and Remote Sensing, 117: 237-242. [”Ž]

· Wang, X., Liu, G., Yu, B., Dai, K., Zhang, R., Ma, D. and Li Zhilin, 2016 An integrated method based on DInSAR, MAI and displacement gradient tensor for mapping the 3D coseismic deformation field related to the 2011 Tarlay earthquake (Myanmar), Remote Sensing of Environment 170, 388-404.

· Zhou, Q. and Li, Zhilin, 2016. Empirical determination of geometric parameters for selective omission in a road network. International Journal of Geographical Information Science, 30(2): 263-299.

· Zhou, Q. and Li Zhilin, 2016. How many samples are needed? An investigation of binary logistic regression for selective omission in a road network. Cartography and Geographic Information Science, 43 (5), 405-416.

· Zhou, Q. and Li Zhilin, 2016. How many samples are needed? An investigation of binary logistic regression for selective omission in a road network, Cartography and Geographic Information Science 43 (5): 405-416. [”’]