[1] Feng LING, Shen-Jun WU, Fei XIAO et al. Sub-pixel mapping of remotely sensed imagery: a review. Journal of Image and Graphics, 16, 1335-1345(2011).
[2] F Ling, G M Foody. Super-resolution land cover mapping by deep learning. Remote Sensing Letters, 10, 598-606(2019).
[3] Q Wang, C Zhang, P M Atkinson. Sub-pixel mapping with point constraints. Remote Sensing of Environment, 224, 111817(2020).
[4] Q M Wang, W Shi, L Wang. Allocating classes for soft-then-hard sub-pixel mapping algorithms in units of class. IEEE Transactions on Geoscience and Remote Sensing, 52, 2940-2959(2014).
[5] P M Atkinson. Sub-pixel target mapping from soft-classified remotely sensed imagery. Photogrammetric Engineering and Remote Sensing, 71, 839-846(2005).
[6] A Villa, J Chanussot, J A Benediktsson et al. Spectral unmixing for the classification of hyperspectral images at a finer spatial resolution. IEEE Journal of Selected Topics in Signal Processing, 5, 521-533(2011).
[7] F Ling, W Li, Y Du et al. Land cover change mapping at the subpixel scale with different spatial-resolution remotely sensed imagery. IEEE Geoscience and Remote Sensing Letters, 8, 182-186(2011).
[8] Y Makido, A Shortridge, J P Messina. Assessing alternatives for modeling the spatial distribution of multiple land-cover classes at subpixel scales. Photogrammetric Engineering and Remote Sensing, 73, 935-943(2007).
[9] D He, Y Zhong, R Feng et al. Spatial-temporal sub-pixel mapping based on swarm intelligence theory. Remote Sensing, 894(2016).
[10] X Tong, X Xu, A Plaza. A new genetic method for subpixel mapping using hyperspectral images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9, 4480-4491(2016).
[11] D Nigussie, R Zurita-Milla, J G P W Clevers. Possibilities and limitations of artificial neural networks for subpixel mapping of land cover. International Journal of Remote Sensing, 32, 7203-7226(2011).
[12] Xiong XU, Yan-Fei ZHONG, Liang-Pei ZHANG et al. A sub-pixel mapping algorithm based on BP neural network with spatial autocorrelation function for remote sensing imagery. Acta Geodaetica et Cartographica Sinica, 40, 307-311(2011).
[13] F Ling, X Li, Y Du et al. Sub-pixel mapping of remotely sensed imagery with hybrid intra- and inter-pixel dependence. International Journal of Remote Sensing, 34, 341-357(2013).
[14] P Wang, L Wang. Soft-then-hard super-resolution mapping based on a spatial attraction model with multiscale sub-pixel shifted images. International Journal of Remote Sensing, 38, 4303-4326(2017).
[15] L Lu, Y Hang, L Di. A new spatial attraction model for improving subpixel land cover classification. Remote Sensing, 360(2017).
[17] H Jin, G Mountrakis, P Li. A super-resolution mapping method using local indicator variograms. International Journal of Remote Sensing, 33, 7747-7773(2012).
[18] Q Wang, P M Atkinson, W Shi. Indicator cokriging-based subpixel mapping without prior spatial structure information. IEEE Transactions on Geoscience and Remote Sensing, 53, 309-323(2015).
[19] X Li, Y Du, F Ling et al. Superresolution mapping of remotely sensed image based on hopfield neural network with anisotropic spatial dependence model. IEEE Geoscience and Remote Sensing Letters, 11, 1265-1269(2014).
[20] P Wang, L Wang, H Leung et al. Subpixel mapping based on hopfield neural network with more prior information. IEEE Geoscience and Remote Sensing Letters, 16, 1284-1288(2019).
[21] P Wang, L Wang, J Chanussot. Soft-then-hard subpixel land cover mapping based on spatial-spectral interpolation. IEEE Geoscience and Remote Sensing Letters, 13, 1851-1854(2016).
[22] L Wang, Z Wang, Z Dou et al. Edge-directed interpolation-based sub-pixel mapping. Remote Sensing Letters, 12, 1195-1203(2013).
[23] W Wang Q and Shi. Utilizing multiple subpixel shifted images in subpixel mapping with image interpolation. IEEE Geoscience and Remote Sensing Letters, 11, 798-802(2014).
[24] P Wang, L Wang, M D Mura et al. Using multiple subpixel shifted images with spatial-spectral information in soft-then-hard subpixel mapping. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10, 2950-2959(2017).
[25] Q Wang, W Shi, P M Atkinson. Sub-pixel mapping of remote sensing images based on radial basis function interpolation. ISPRS Journal of Photogrammetry and Remote Sensing, 92, 1-15(2014).
[26] Y. Chen, Y. Ge, D. Song. Superresolution land-cover mapping based on high-accuracy surface modeling. IEEE Transactions on Geoscience and Remote Sensing, 12, 2516-2520(2015).
[27] P Wang, G Zhang, Y Kong et al. Superresolution mapping based on hybrid interpolation by parallel paths. Remote Sensing Letters, 10, 149-157.
[28] G Vivone, L Alparone, J Chanussot et al. A critical comparison among pansharpening algorithms. IEEE Transactions on Geoscience and Remote Sensing, 53, 2565-2585(2015).
[29] J. Verhoeye, R. De Wulf. Land-cover mapping at sub-pixel scales using linear optimization techniques. Remote Sensing of Environment, 79, 96-104(2002).
[30] T. M. Tu, P. S. Huang, C. L. Hung, C. P. Chang. A fast intensity-hue-saturation fusion technique with spectral adjustment for IKONOS imagery. IEEE Geoscience and Remote Sensing Letters, 1, 309-312(2004).
[31] A Garzelli, F Nencini, L Capobianco. Optimal MMSE pan sharpening of very high resolution multispectral images. IEEE Transactions on Geoscience and Remote Sensing, 46, 228-236(2008).