亚像元定位方法综述
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摘要
混合像元大量存在于遥感图像中,如何准确的处理混合像元问题是遥感图像解译的关键点。亚像元定位方法针对光谱解混的结果进行进一步处理解决混合像元内部的空间分布问题。本文分析总结了目前亚像元定位算法的研究进展,以及其在遥感领域的具体应用。针对目前深度学习在遥感图像处理上的广泛应用,展望了未来亚像元定位技术的发展趋势,以及待解决的问题。
Mixed pixels exist in remote sensing images.The key step of remote sensing image processing is how to tackle the mixed pixels problem.The sub-pixel mapping technique can tackle the spatial uncertainty of mixed pixel using the result of soft classification as input.This paper had a detail summary on the development and application of sub-pixel mapping method on remote sensing image processing.The future development of sub-pixel mapping combining with deep learning technique and problem unsolved were prospected.
Mixed pixels exist in remote sensing images.The key step of remote sensing image processing is how to tackle the mixed pixels problem.The sub-pixel mapping technique can tackle the spatial uncertainty of mixed pixel using the result of soft classification as input.This paper had a detail summary on the development and application of sub-pixel mapping method on remote sensing image processing.The future development of sub-pixel mapping combining with deep learning technique and problem unsolved were prospected.
引文
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[5]吕长春,王忠武,钱少猛.混合像元分解模型综述[J].遥感信息,2003(3):55-58.
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[11]KIZEL F,SHOSHANY M.Spatially Adaptive Hyperspectral Unmixing through Endmembers Analytical Localization Based on Sums of Anisotropic 2D Gaussians[J].ISPRSJournal of Photogrammetry and Remote Sensing,2018(141):185-207.
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[18]WU S,REN J,CHEN Z,et al.Influence of Reconstruction Scale,Spatial Resolution and Pixel Spatial Relationships on the Sub-pixel Mapping Accuracy of a Double-calculated Spatial Attraction Model[J].Remote Sensing of Environment,2018(21):345-361.
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[23]XU Xiong,TONG Xiaohua,PLAZA Antonio,et al.ANew Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2018,56(11):6763-6778.
[24]孙志军,薛磊,许阳明,等.深度学习研究综述[J].计算机应用研究,2012,29(8):2806-2810.
[25]周天顺,党鹏飞,谢辉.基于改进的AlexNet网络模型的遥感图像分类方法研究[J].北京测绘,2018,32(11):1263-1266.
[26]李静,吴孔江.基于PCA和极限学习机的高光谱遥感分类研究[J].北京测绘,2018,32(7):794-799.
[27]ZHANG Liangpei,ZHANG Lefei,DU Bo.Deep Learning for Remote Sensing Data:A Technical Tutorial on the State of the Art[J].IEEE Geoscience and Remote Sensing Magazine,2016,4(2):22-40.
[28]TATEM A J,ATKINSON P M,NIXON M S.Super-resolution Mapping of Multiple-scale Land Cover Features Using a Hopfield Neural Network[J].IEEE International Geoscience&Remote Sensing Symposium,2001,7(4):3203-3205.
[29]MERTENS K C.Sub-pixel Mapping with Neural Networks:Real-world Spatial Configurations Learned from Artificial Shapes[J].International Symposium on Remote Sensing&Urban Areas,2003,34(7):117-121.
[30]吴柯,牛瑞卿,李平湘,等.基于模糊ARTMAP神经网络模型的遥感影像亚像元定位[J].武汉大学学报·信息科学版,2009,34(3):297-300.
[31]BUPPHAWAT W,KASETKASEM T,KUMAZAWA I.Super-resolution Land Cover Mapping Based on Deep Learning and Level Set Method[C].IEEE Computer,Telecommunications and Information Technology,2017.
[32]ARUN P,BUDDHIRAJU K,PORWAL A.CNN Based Sub-pixel Mapping for Hyperspectral Images[J].Neurocomputing,2018,311(5):51-64.
[33]LING Feng,XIAO Fei,DU Yun.Waterline Mapping at the Subpixel Scale from Remote Sensing Imagery with Highresolution Digital Elevation Models[J].International Journal of Remote Sensing,2008,29(6):1809-1815.
[34]MUAD A M,FOODY G M.Super-resolution Mapping of Lakes from Imagery with a Coarse Spatial and Fine Temporal Resolution[J].International Journal of Applied Earth Observation&Geoinformation,2012,15(1):79-91.
[35]LI L,CHEN Y,XU T,et al.Integration of Bayesian Regulation Back-propagation Neural Network and Particle Swarm Optimization for Enhancing Sub-pixel Mapping of Flood Inundation in River Basins[J].Remote Sensing Letters,2016,7(7):631-640.
[36]LING Feng,LI Xiaodong,XIAO Fei,et al.Object-based Sub-pixel Mapping of Buildings Incorporating the Prior Shape Information from Remotely Sensed Imagery[J].International Journal of Applied Earth Observation and Geoinformation,2012,18(3):283-292.
[37]YIN W,YANG J.Sub-pixel vs.Super-pixel-based Greenspace Mapping along the Urban-Rural Gradient Using High Spatial Resolution Gaofen-2Satellite Imagery:A Case Study of Haidian District,Beijing,China[J].International Journal of Remote Sensing,2017,38(22):6386-6406.
[38]LI Xiaodong,LING Feng,FOODY G M,et al.A Superresolution Land-cover Change Detection Method Using Remotely Sensed Images with Different Spatial Resolutions[J].IEEE Transactions on Geoscience and Remote Sensing,2016,54(7):3822-3841.
[2]武鹤.基于数学形态学的高光谱图像端元提取技术研究[D].四川成都:成都理工大学,2011.
[3]BONNETT R,CAMPBELL J B.Introduction to Remote Sensing[M].3rd ed.New York:Taylor&Francis,2002.
[4]李二森,朱述龙,周晓明,等.高光谱图像端元提取算法研究进展与比较[J].遥感学报,2011,15(4):659-679.
[5]吕长春,王忠武,钱少猛.混合像元分解模型综述[J].遥感信息,2003(3):55-58.
[6]承继成,郭华东,史文中.遥感数据的不确定性问题[M].北京:科学出版社,2004.
[7]ATKINSON P M,CUTLER M E J,LEWIS H.Mapping Sub-pixel Proportional Land Cover with AVHRR Imagery[J].International Journal of Remote Sensing,1997.18(4):917-935.
[8]张安定.遥感原理与应用题解[M].北京:科学出版社,2016.
[9]FOODY G M.Estimation of Sub-pixel Land Cover Composition in the Presence of Untrained Classes[J].Computers&Geo-sciences,2000,26(4):469-478.
[10]WANG Fangju.Fuzzy Supervised Classification of Remote-Sensing Images[J].IEEE Transactions on Geoscience and Remote Sensing,1990,28(2):194-201.
[11]KIZEL F,SHOSHANY M.Spatially Adaptive Hyperspectral Unmixing through Endmembers Analytical Localization Based on Sums of Anisotropic 2D Gaussians[J].ISPRSJournal of Photogrammetry and Remote Sensing,2018(141):185-207.
[12]李小文,曹春香,常超一.地理学第一定律与时空邻近度的提出[J].自然杂志,2007,29(2):69-71.
[13]ATKINSON P M.Super-resolution Target Mapping from Soft-classified Remotely Sensed Imagery[J].University of Queensland,2005,71(7):839-846.
[14]ATKINSON P M.Sub-pixel Target Mapping from Softclassified,remotely Sensed Imagery[J].Photogrammetric Engineering&Remote Sensing,2015,71(7):839-846.
[15]TONG Xiaohua,ZHANG Xue,SHAN Jie,et al.Attraction-repulsion Model-based Subpixel Mapping of Multi-/Hyperspectral Imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2013,51(5):2799-2814.
[16]WANG Q,SHI W,ATKINSON P M.Sub-pixel Mapping of Remote Sensing Images Based on Radial Basis Function Interpolation[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014(92):1-15.
[17]WANG Q,ATKINSON P M.The Effect of the Point Spread Function on Sub-pixel Mapping[J].Remote Sensing of Environment,2017(193):127-137.
[18]WU S,REN J,CHEN Z,et al.Influence of Reconstruction Scale,Spatial Resolution and Pixel Spatial Relationships on the Sub-pixel Mapping Accuracy of a Double-calculated Spatial Attraction Model[J].Remote Sensing of Environment,2018(21):345-361.
[19]GE Yong,LI Sanping,LAKHAN V C.Development and Testing of a Subpixel Mapping Algorithm[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(7):2155-2164.
[20]WU Ke,ZHANG Liangpei,NIU Ruiqing,et al.Superresolution Land-cover Mapping Based on the Selective Endmember Spectral Mixture Model in Hyperspectral Imagery[J].Optical Engineering,2011,50(12):1-14.
[21]KASETKASEM T,ARORA M,VARSHNEY P.Superresolution Land Cover Mapping Using a Markov Random Field Based Approach[J].Remote Sensing of Environment,2005,96(3):302-314.
[22]ZHAO Ji,ZHONG Yanfei,WU Yunyun,et al.Sub-pixel Mapping Based on Conditional Random Fields for Hyperspectral Remote Sensing Imagery[J].IEEE Journal of Selected Topics in Signal Processing,2015,9(6):1049-1060.
[23]XU Xiong,TONG Xiaohua,PLAZA Antonio,et al.ANew Spectral-Spatial Sub-Pixel Mapping Model for Remotely Sensed Hyperspectral Imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2018,56(11):6763-6778.
[24]孙志军,薛磊,许阳明,等.深度学习研究综述[J].计算机应用研究,2012,29(8):2806-2810.
[25]周天顺,党鹏飞,谢辉.基于改进的AlexNet网络模型的遥感图像分类方法研究[J].北京测绘,2018,32(11):1263-1266.
[26]李静,吴孔江.基于PCA和极限学习机的高光谱遥感分类研究[J].北京测绘,2018,32(7):794-799.
[27]ZHANG Liangpei,ZHANG Lefei,DU Bo.Deep Learning for Remote Sensing Data:A Technical Tutorial on the State of the Art[J].IEEE Geoscience and Remote Sensing Magazine,2016,4(2):22-40.
[28]TATEM A J,ATKINSON P M,NIXON M S.Super-resolution Mapping of Multiple-scale Land Cover Features Using a Hopfield Neural Network[J].IEEE International Geoscience&Remote Sensing Symposium,2001,7(4):3203-3205.
[29]MERTENS K C.Sub-pixel Mapping with Neural Networks:Real-world Spatial Configurations Learned from Artificial Shapes[J].International Symposium on Remote Sensing&Urban Areas,2003,34(7):117-121.
[30]吴柯,牛瑞卿,李平湘,等.基于模糊ARTMAP神经网络模型的遥感影像亚像元定位[J].武汉大学学报·信息科学版,2009,34(3):297-300.
[31]BUPPHAWAT W,KASETKASEM T,KUMAZAWA I.Super-resolution Land Cover Mapping Based on Deep Learning and Level Set Method[C].IEEE Computer,Telecommunications and Information Technology,2017.
[32]ARUN P,BUDDHIRAJU K,PORWAL A.CNN Based Sub-pixel Mapping for Hyperspectral Images[J].Neurocomputing,2018,311(5):51-64.
[33]LING Feng,XIAO Fei,DU Yun.Waterline Mapping at the Subpixel Scale from Remote Sensing Imagery with Highresolution Digital Elevation Models[J].International Journal of Remote Sensing,2008,29(6):1809-1815.
[34]MUAD A M,FOODY G M.Super-resolution Mapping of Lakes from Imagery with a Coarse Spatial and Fine Temporal Resolution[J].International Journal of Applied Earth Observation&Geoinformation,2012,15(1):79-91.
[35]LI L,CHEN Y,XU T,et al.Integration of Bayesian Regulation Back-propagation Neural Network and Particle Swarm Optimization for Enhancing Sub-pixel Mapping of Flood Inundation in River Basins[J].Remote Sensing Letters,2016,7(7):631-640.
[36]LING Feng,LI Xiaodong,XIAO Fei,et al.Object-based Sub-pixel Mapping of Buildings Incorporating the Prior Shape Information from Remotely Sensed Imagery[J].International Journal of Applied Earth Observation and Geoinformation,2012,18(3):283-292.
[37]YIN W,YANG J.Sub-pixel vs.Super-pixel-based Greenspace Mapping along the Urban-Rural Gradient Using High Spatial Resolution Gaofen-2Satellite Imagery:A Case Study of Haidian District,Beijing,China[J].International Journal of Remote Sensing,2017,38(22):6386-6406.
[38]LI Xiaodong,LING Feng,FOODY G M,et al.A Superresolution Land-cover Change Detection Method Using Remotely Sensed Images with Different Spatial Resolutions[J].IEEE Transactions on Geoscience and Remote Sensing,2016,54(7):3822-3841.