[1] Singh A. Review Article Digital Change Detection Techniques Using Remotely-Sensed Data[J]. International Journal of Remote Sensing, 1989, 10(6):989-1003, doi: 10.1080/01431168908903939
[2] Ban Y, Yousif O.Change Detection Techniques: A Review[M]//Multitemporal Remote Sensing. Stockholm: Springer, 2016
[3] Weismiller R, Kristoff S, Scholz D, et al.Change Detection in Coastal Zone Environments[J]. Photogrammetric Engineering and Remote Sensing, 1977, 43(12):1533-1539
[4] 马建文, 田国良, 王长耀, 等.遥感变化检测技术发展综述[J].地球科学进展, 2004, 19(2):192-196 doi:  10.3321/j.issn:1001-8166.2004.02.004

Ma Jianwen, Tian Guoliang, Wang Changyao, et al.Review of the Development of Remote Sensing Change Detection Technology[J]. Advance in Earth Sciences, 2004, 19(2):192-196 doi:  10.3321/j.issn:1001-8166.2004.02.004
[5] Cho S, Haralick R, Yi S.Improvement of Kittler and Illingworth's Minimum Error Thresholding[J]. Pattern Recogn, 1989, 22(5):609-617 doi:  10.1016/0031-3203(89)90029-0
[6] Bruzzone L, Prieto D F.Automatic Analysis of the Difference Image for Unsupervised Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(3):1171-1182 doi:  10.1109/36.843009
[7] Yuan F, Sawaya K E, Loeffelholz B C, et al. Land Cover Classification and Change Analysis of the Twin Cities (Minnesota) Metropolitan Area by Multitemporal Landsat Remote Sensing[J]. Remote Sensing of Environment, 2005, 98(2):317-328 http://www.sciencedirect.com/science/article/pii/S0034425705002646
[8] Zhou L, Cao G, Li Y, et al. Change Detection Based on Conditional Random Field with Region Connection Constraints in High-Resolution Remote Sensing Images[J]. IEEE J Sel Top Appl Earth Obs Remote Sens, 2016, doi: 10.1109/JSTARS.2016.2514610
[9] Wu K, Du Q, Wang Y, et al.Supervised Sub-Pixel Mapping for Change Detection from Remotely Sensed Images with Different Resolutions[J]. Remote Sensing, 2017, 9:284, doi: 10.3390/rs9030284
[10] Xu Y, Lin L, Meng D. Learning-Based Sub-Pixel Change Detection Using Coarse Resolution Satellite Imagery[J]. Remote Sensing, 2017, 9:709; doi: 10.3390/rs9070709
[11] 孙天天, 邓文彬, 马琳.基于面向对象分类的城市土地利用变化检测[J].地理空间信息, 2018, 16(9):95-98 doi:  10.3969/j.issn.1672-4623.2018.09.028

Sun Tiantian, Deng Wenbin, Ma Lin.Urban Land Use Change Detection Based on Object-Oriented Classification[J]. Geospatial Information, 2018, 16(9):95-98 doi:  10.3969/j.issn.1672-4623.2018.09.028
[12] 李亮, 王蕾, 孙晓鹏, 等.面向对象变化向量分析的遥感影像变化检测[J].遥感信息, 2017, 32(6):71-77 doi:  10.3969/j.issn.1000-3177.2017.06.012

Li Liang, Wang Lei, Sun Xiaopeng, et al. Remote Sensing Change Detection Method Based on Object-Oriented Change Vector Analysis[J]. Remote Sen-sing Information, 2017, 32(6):71-77 doi:  10.3969/j.issn.1000-3177.2017.06.012
[13] Huang F, Chen L, Yin K, et al. Object Oriented Change Detection and Damage Assessment Using High Resolution Remote Sensing Images, Tangjiao Landslide, Three Gorges Reservoir, China[J]. Environmental Earth Sciences, 2018, 77:183 doi:  10.1007/s12665-018-7334-5
[14] Bhatt A, Ghosh S K, Kumar A. Spectral Indices Based Object Oriented Classification for Change Detection Using Satellite Data[J]. Int J Syst Assur Eng Manag, 2018, 9(1):33-42 doi:  10.1007/s13198-016-0458-7
[15] Menz G. From Change Detection to Change Modelling[C]. International Workshop on Change Detection, Wuhan, China, 2013
[16] Lyu H, Lu H, Mou L.Learning a Transferable Change Rule from a Recurrent Neural Network for Land Cover Change Detection[J]. Remote Sensing, 2016, 8:506, doi: 10.3390/rs8060506
[17] Cao G, Wang B, Xavier H C, et al.A New Diffe-rence Image Creation Method Based on Deep Neural Networks for Change Detection in Remote Sensing Images[J]. International Journal of Remote Sen-sing, 2017, 38(23):7161-7175 doi:  10.1080/01431161.2017.1371861
[18] Hao M, Shi W, Zhang H, et al.Unsupervised Change Detection with Expectation-Maximization-Based Level Set[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1):210-214 doi:  10.1109/LGRS.2013.2252879
[19] Hao M, Shi W, Deng K, et al.Superpixel-Based Active Contour Model for Unsupervised Change Detection from Satellite Images[J]. International Journal of Remote Sensing, 2016, 37(18):4276-4295 doi:  10.1080/01431161.2016.1210838
[20] Im J, Jensen J R. A Change Detection Model Based on Neighborhood Correlation Image Analysis and Decision Tree Classification[J]. Remote Sensing of Environment, 2005, 99:326-340 doi:  10.1016/j.rse.2005.09.008
[21] Ghosh S, Bruzzone L, Patra S, et al.A Context-Sensitive Technique for Unsupervised Change Detection Based on Hopfield-Type Neural Networks[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45:778-789, doi: 10.1109/TGRS.2006.888861
[22] Zhang P, Lv Z, Shi W.Object-Based Spatial Feature for Classification of very High Resolution Remote Sensing Images[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6):1572-1576 doi:  10.1109/LGRS.2013.2262132
[23] Zhang P, Shi W, Wong M S, et al.A Reliability-Based Multi-algorithm Fusion Technique in Detecting Changes in Land Cover[J]. Remote Sensing, 2013, 5(3):1134-1151 doi:  10.3390/rs5031134
[24] Zhang P, Lv Z, Shi W. Local Spectrum-Trend Similarity Approach for Detecting Land-Cover Change by Using SPOT-5 Satellite Images[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(4):738-742 doi:  10.1109/LGRS.2013.2278205