[1] Foody G M. Status of land cover classification accuracy assessment[J]. Remote Sensing of Environment, 80, 185-201(2002). http://www.sciencedirect.com/science/article/pii/S0034425701002954
[2] Lei Z, Xi X H, Wang C et al. Building point clouds extraction from airborne LiDAR data based on decision tree method[J]. Laser & Optoelectronics Progress, 55, 082803(2018).
[3] Wang S X, Yang Y W, Chang J X et al. Optimization of building contours by classifying high-resolution images[J]. Laser & Optoelectronics Progress, 57, 022801(2020).
[4] Chen F, Yu H M, Hu R. Shape sparse representation for joint object classification and segmentation[J]. IEEE Transactions on Image Processing, 22, 992-1004(2013).
[5] Sun K, Lu T D. Research on FNEA object-oriented classification based on multi-scale partition parameters[J]. Bulletin of Surveying and Mapping, 43-48(2018).
[6] Wang M, Fan T F, Yun W G et al. PFWG improved CNN multispectra remote sensing image classification[J]. Laser & Optoelectronics Progress, 56, 031003(2019).
[7] Huang X, Zhang L P. A multidirectional and multiscale morphological index for automatic building extraction from multispectral GeoEye-1 imagery[J]. Photogrammetric Engineering & Remote Sensing, 77, 721-732(2011). http://www.ingentaconnect.com/content/asprs/pers/2011/00000077/00000007/art00003
[8] Huang X, Zhang L P. Morphological building/shadow index for building extraction from high-resolution imagery over urban areas[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 161-172(2012).
[9] Zhang H, Shi W Z, Wang Y J et al. Classification of very high spatial resolution imagery based on a new pixel shape feature set[J]. IEEE Geoscience and Remote Sensing Letters, 11, 940-944(2014). http://ieeexplore.ieee.org/document/6627928
[10] Chen H, Zhang K, Su D et al. Method of building height estimation under the constraint of profile contour lines from high resolution remote sensing images[J]. Bulletin of Surveying and Mapping, 34-37, 72(2019).
[11] Huang X, Zhu T T, Zhang L P et al. A novel building change index for automatic building change detection from high-resolution remote sensing imagery[J]. Remote Sensing Letters, 5, 713-722(2014). http://www.tandfonline.com/doi/full/10.1080/2150704X.2014.963732
[12] Gong X Q, Shen L, Lu T D. Refining training samples using median absolute deviation for supervised classification of remote sensing images[J]. Journal of the Indian Society of Remote Sensing, 47, 647-659(2019). http://www.researchgate.net/publication/333335835_Refining_Training_Samples_Using_Median_Absolute_Deviation_for_Supervised_Classification_of_Remote_Sensing_Images
[13] Büschenfeld T, Ostermann J. Automatic refinement of training data for classification of satellite imagery[J]. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, I-7, 117-122(2012).
[14] Chellasamy M, Ferré T P A, Greve M H. An ensemble-based training data refinement for automatic crop discrimination using WorldView-2 imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, 4882-4894(2015). http://ieeexplore.ieee.org/document/7182736/
[15] Liu Y L, Liu Q G, Zhang M H et al. IFR-net: iterative feature refinement network for compressed sensing MRI[J]. IEEE Transactions on Computational Imaging, 6, 434-446(2020). http://arxiv.org/abs/1909.10856v1
[16] Avudaiammal R, Elaveni P, Selvan S et al. Extraction of buildings in urban area for surface area assessment from satellite imagery based on morphological building index using SVM classifier[J]. Journal of the Indian Society of Remote Sensing, 48, 1325-1344(2020). http://link.springer.com/article/10.1007/s12524-020-01161-0
[17] You Y F, Wang S Y, Wang B et al. Study on hierarchical building extraction from high resolution remote sensing imagery[J]. Journal of Remote Sensing, 23, 125-136(2019).
[18] Lin X G, Zhang J X. Object-based morphological building index for building extraction from high resolution remote sensing imagery[J]. Acta Geodaetica et Cartographica Sinica, 46, 724-733(2017).
[19] Hampel F R. The influence curve and its role in robust estimation[J]. Journal of the American Statistical Association, 69, 383-393(1974).
[20] Leys C, Ley C, Klein O et al. Detecting outliers: do not use standard deviation around the mean, use absolute deviation around the median[J]. Journal of Experimental Social Psychology, 49, 764-766(2013). http://psycnet.apa.org/record/2013-13220-001
[21] Gong X Q, Liu X L, Lu T D et al. Accuracy assessment of object-oriented classification based on regular verification points[J]. Laser & Optoelectronics Progress, 57, 241102(2020).
[22] Lin Y Z, Zhang B M, Wang D D et al. Hierarchical building extraction from high resolution remote sensing imagery based on multi-feature fusion[J]. Journal of Image and Graphics, 22, 1798-1808(2017).