Acta Geodaetica et Cartographica Sinica ›› 2017, Vol. 46 ›› Issue (10): 1447-1459.doi: 10.11947/j.AGCS.2017.20170340
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ZHANG Liangpei1, WU Chen2
Received:
2017-06-21
Revised:
2017-08-03
Online:
2017-10-20
Published:
2017-10-26
Supported by:
CLC Number:
ZHANG Liangpei, WU Chen. Advance and Future Development of Change Detection for Multi-temporal Remote Sensing Imagery[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1447-1459.
[1] LU D,MAUSEL P,BRONDÍZIO E,et al. Change Detection Techniques[J]. International Journal of Remote Sensing, 2004, 25(12):2365-2401. [2] COPPIN P,JONCKHEERE I,NACKAERTS K,et al. Digital Change Detection Methods in Ecosystem Monitoring:A Review[J]. International Journal of Remote Sensing, 2004, 25(9):1565-1596. [3] SINGH A. Digital Change Detection Techniques Using Remotely-sensed Data[J]. International Journal of Remote Sensing, 1989, 10(6):989-1003. [4] CRAPPER PF,HYNSON KC. Change Detection Using Landsat Photographic Imagery[J]. Remote Sensing of Environment, 1983, 13(4):291-300. [5] 李德仁. 利用遥感影像进行变化检测[J]. 武汉大学学报(信息科学版), 2003, 28(S1):7-12. LI Deren. Change Detection from Remote Sensing Images[J]. Geomatics and Information Science of Wuhan University, 2003, 28(S1):7-12. [6] KENNEDY R E,TOWNSEND P A,GROSS J E,et al. Remote Sensing Change Detection Tools for Natural Resource Managers:Understanding Concepts and Tradeoffs in the Design of Landscape Monitoring Projects[J]. Remote Sensing of Environment, 2009, 113(7):1382-1396. [7] 周启鸣. 多时相遥感影像变化检测综述[J]. 地理信息世界, 2011, 9(2):28-33. ZHOU Qiming. Review on Change Detection Using Multi-temporal Remotely Sensed Imagery[J]. Geomatics World, 2011, 9(2):28-33. [8] LI Haixing,XIAO Pengfeng,FENG Xuezhi,et al.Using Land Long-term Data Records to Map Land Cover Changes in China over 1981-2010[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(4):1372-1389. [9] ZELINSKI ME,HENDERSON J,SMITH M. Use of Landsat 5 for Change Detection at 1998 Indian and Pakistani Nuclear Test Sites[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(8):3453-3460. [10] HU Jinrong,ZHANG Yuanzhi. Seasonal Change of Land-use/Land-cover (LULC) Detection Using MODIS Data in Rapid Urbanization Regions:A Case Study of the Pearl River Delta Region (China)[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(4):1913-1920. [11] VOGELMANN J E,KOST J R,TOLK B, et al. Monitoring Landscape Change for LANDFIRE Using Multi-temporal Satellite Imagery and Ancillary Data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2011, 4(2):252-264. [12] XIAN G, HOMER C. Updating the 2001 National Land Cover Database Impervious Surface Products to 2006 Using Landsat Imagery Change Detection Methods[J]. Remote Sensing of Environment, 2010, 114(8):1676-1686. [13] LI Zhongbin, SHI Wenzhong, MYINT S W,et al. Semi-automated Landslide Inventory Mapping from Bitemporal Aerial Photographs Using Change Detection and Level Set Method[J]. Remote Sensing of Environment, 2016(175):215-230. [14] SONG Chunqiao, HUANG Bo, KE Linghong, et al. Remote Sensing of Alpine Lake Water Environment Changes on the Tibetan Plateau and Surroundings:A Review[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014(92):26-37. [15] 国土资源部地籍管理司.国土资源部关于开展2010年度全国土地变更调查与遥感监测工作的通知[M]. 北京:国土资源部, 2010. Ministry of Land and Resources of the People's Republic of China.The Notice for National Land-use Change Survey and Remote Sensing Monitoring from Ministry of Land and Resources in 2010[M].Beijing:Ministry of Land and Resources,2010. [16] 国土资源部地籍管理司.国土资源部关于开展2016年度全国土地变更调查与遥感监测工作的通知[M]. 北京:国土资源部, 2016. Ministry of Land and Resources of the People's Republic of China.The Notice for National Land-use Change Survey and Remote Sensing Monitoring from Ministry of Land and Resources in 2016[M].Beijing:Ministry of Land and Resources,2016. [17] BAZI Y,BRUZZONE L,MELGANI F. An Unsupervised Approach Based on the Generalized Gaussian Model to Automatic Change Detection in Multitemporal SAR Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(4):874-887. [18] VUT T, MATSUOKA M,YAMAZAKI F. LiDAR-based Change Detection of Buildings in Dense Urban Areas[C]//Proceedings of 2004 IEEE International Geoscience and Remote Sensing Symposium. Anchorage:IEEE,2004:3413-3416. [19] DAI Xiaolong, KHORRAM S. The Effects of Image Misregistration on the Accuracy of Remotely Sensed Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 1998, 36(5):1566-1577. [20] CHEN Gang, ZHAO Kaiguang, POWERS R. Assessment of the Image Misregistration Effects on Object-based Change Detection[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2014(87):19-27. [21] MARCHESI S,BOVOLO F,BRUZZONE L. A Context-Sensitive Technique Robust to Registration Noise for Change Detection in VHR Multispectral Images[J]. IEEE Transactions on Image Processing, 2010, 19(7):1877-1889. [22] VAKALOPOULOU M,KARANTZALOS K,KOMODAKIS N,et al. Graph-based Registration, Change Detection, and Classification in very High Resolution Multitemporal Remote Sensing Data[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(7):2940-2951. [23] THEILER J, WOHLBERG B. Local Coregistration Adjustment for Anomalous Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(8):3107-3116. [24] WU Chen, DU Bo, ZHANG Liangpei. A Subspace-based Change Detection Method for Hyperspectral Images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(2):815-830. [25] YUAN Ding, ELVIDGE C D. Comparison of Relative Radiometric Normalization Techniques[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 1996, 51(3):117-126. [26] SONG Conghe, WOODCOCK C E,SETO K C,et al. Classification and Change Detection Using Landsat TM Data:When and How to Correct Atmospheric Effects?[J]. Remote Sensing of Environment, 2001, 75(2):230-244. [27] DU Yong, TEILLET P M,CIHLAR J. Radiometric Normalization of Multitemporal High-resolution Satellite Images with Quality Control for Land Cover Change Detection[J]. Remote Sensing of Environment, 2002, 82(1):123-134. [28] COLLINS J B,WOODCOCK C E. An Assessment of Several Linear Change Detection Techniques for Mapping Forest Mortality Using Multitemporal Landsat TM Data[J]. Remote Sensing of Environment, 1996, 56(1):66-77. [29] CHEN Xuexia, VIERLING L, DEERING D. A Simple and Effective Radiometric Correction Method to Improve Landscape Change Detection across Sensors and across Time[J]. Remote Sensing of Environment, 2005, 98(1):63-79. [30] CANTY M J,NIELSEN A A,SCHMIDT M. Automatic Radiometric Normalization of Multitemporal Satellite Imagery[J]. Remote Sensing of Environment, 2004, 91(3-4):441-451. [31] SCHOTT J R,SALVAGGIO C, VOLCHOK W J. Radiometric Scene Normalization Using Pseudoinvariant Features[J]. Remote Sensing of Environment, 1988, 26(1):1-16. [32] ELVIDGE C D,YUAN D,WEERACKOON R D,et al. Relative Radiometric Normalization of Landsat Multispectral Scanner (MSS) Data Using an Automatic Scattergram-Controlled Regression[J]. Photogrammetric Engineering and Remote Sensing, 1995, 61(10):1255-1260. [33] PHILPOT W,ANSTY T. Analytical Description of Pseudoinvariant Features[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(4):2016-2021. [34] CANTY M J,NIELSEN A A. Automatic Radiometric Normalization of Multitemporal Satellite Imagery with the Iteratively Re-weighted MAD Transformation[J]. Remote Sensing of Environment, 2008, 112(3):1025-1036. [35] ZHANG Liangpei, WU Chen, DU Bo. Automatic Radiometric Normalization for Multitemporal Remote Sensing Imagery with Iterative Slow Feature Analysis[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(10):6141-6155. [36] MALILA W A. Change Vector Analysis:An Approach for Detecting Forest Changes with Landsat[C]//LARS Symposia. West Lafayette:Purdue University,1980:326-336. [37] BOVOLO F, BRUZZONE L. A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(1):218-236. [38] XIAN G, HOMER C, FRY J. Updating the 2001 National Land Cover Database Land Cover Classification to 2006 by Using Landsat Imagery Change Detection Methods[J]. Remote Sensing of Environment, 2009, 113(6):1133-1147. [39] BOVOLO F, MARCHESI S, BRUZZONE L. A Framework for Automatic and Unsupervised Detection of Multiple Changes in Multitemporal Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(6):2196-2212. [40] CAMPS-VALLS G, GOMEZ-CHOVA L, MUNOZ-MARI J, et al. Kernel-based Framework for Multitemporal and Multisource Remote Sensing Data Classification and Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(6):1822-1835. [41] VOLPI M,TUIA D,CAMPS-VALLS G,et al. Unsupervised Change Detection with Kernels[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(6):1026-1030. [42] RIDD M K,LIU Jiajun. A Comparison of Four Algorithms for Change Detection in an Urban Environment[J]. Remote Sensing of Environment, 1998, 63(2):95-100. [43] ZHANG Hui,GONG Maoguo,ZHANG Puzhao,et al. Feature-level Change Detection Using Deep Representation and Feature Change Analysis for Multispectral Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(11):1666-1670. [44] ZHUANG Huifu,DENG Kazhong,FAN Hongdong,et al. Strategies Combining Spectral Angle Mapper and Change Vector Analysis to Unsupervised Change Detection in Multispectral Images[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(5):681-685. [45] 魏立飞, 钟燕飞, 张良培, 等. 遥感影像融合的自适应变化检测[J]. 遥感学报, 2010, 14(6):1196-1211. WEI Lifei, ZHONG Yanfei, ZHANG Liangpei, et al.Adaptive Change Method of Remote Sensing Image Fusion[J]. Journal of Remote Sensing, 2010, 14(6):1196-1211. [46] GONG Maoguo,ZHOU Zhiqiang,MA Jingjing. Change Detection in Synthetic Aperture Radar Images Based on Image Fusion and Fuzzy Clustering[J]. IEEE Transactions on Image Processing, 2012, 21(4):2141-2151. [47] ZHANG Jixian, ZHANG Yonghong. Remote Sensing Research Issues of the National Land Use Change Program of China[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2007, 62(6):461-472. [48] DENG JS,WANG K,DENG YH,et al. PCA-based Land-use Change Detection and Analysis Using Multitemporal and Multisensor Satellite Data[J]. International Journal of Remote Sensing, 2008, 29(16):4823-4838. [49] FALCO N,MARPU PR,BENEDIKTSSON JA. A Toolbox for Unsupervised Change Detection Analysis[J]. International Journal of Remote Sensing, 2016, 37(7):1505-1526. [50] ZHONG J,WANG R. Multi-temporal Remote Sensing Change Detection Based on Independent Component Analysis[J]. International Journal of Remote Sensing, 2006, 27(10):2055-2061. [51] NIELSEN A A,CONRADSEN K, Simpson J J. Multivariate Alteration Detection (MAD) and MAF Postprocessing in Multispectral, Bitemporal Image Data:New Approaches to Change Detection Studies[J]. Remote Sensing of Environment, 1998, 64(1):1-19. [52] NIELSEN A A. The Regularized Iteratively Reweighted MAD Method for Change Detection in Multi-and Hyperspectral Data[J]. IEEE Transactions on Image Processing, 2007, 16(2):463-478. [53] MARPU P R,GAMBA P, CANTY M J. Improving Change Detection Results of IR-MAD by Eliminating Strong Changes[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4):799-803. [54] WU Chen, DU Bo, ZHANG Liangpei. Slow Feature Analysis for Change Detection in Multispectral Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(5):2858-2874. [55] WU Chen, ZHANG Liangpei, DU Bo. Kernel Slow Feature Analysis for Scene Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(4):2367-2384. [56] MAS J F. Monitoring Land-Cover Changes:A Comparison of Change Detection Techniques[J]. International Journal of Remote Sensing, 1999, 20(1):139-152. [57] DEROSE R J, LONG J N,RAMSEY R D. Combining Dendrochronological Data and the Disturbance Index to Assess Engelmann Spruce Mortality Caused by a Spruce Beetle Outbreak in Southern Utah, USA[J]. Remote Sensing of Environment, 2011, 115(9):2342-2349. [58] ELMORE A J,MUSTARD J F,MANNING S J,et al. Quantifying Vegetation Change in Semiarid Environments:Precision and Accuracy of Spectral Mixture Analysis and the Normalized Difference Vegetation Index[J]. Remote Sensing of Environment, 2000, 73(1):87-102. [59] LYON J G,YUAN Ding, LUNETTA R S,et al. A Change Detection Experiment Using Vegetation Indices[J]. Photogrammetric Engineering and Remote Sensing, 1998, 64(2):143-150. [60] ZENG Yuan, SCHAEPMAN M E,WU Bingfang, et al. Scaling-based Forest Structural Change Detection Using an Inverted Geometric-optical Model in the Three Gorges Region of China[J]. Remote Sensing of Environment, 2008, 112(12):4261-4271. [61] YUAN Fei, 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(2-3):317-328. [62] HUANG Zhi,JIA Xiuping,GE Linlin. Sampling Approaches for One-pass Land-use/Land-cover Change Mapping[J]. International Journal of Remote Sensing, 2010, 31(6):1543-1554. [63] GIL-YEPES J L,RUIZ L A,RECIO J A,et al. Description and Validation of a New Set of Object-based Temporal Geostatistical Features for Land-use/Land-cover Change Detection[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016(121):77-91. [64] HUSSAIN M, CHEN Dongmei, CHENG A, et al. Change Detection from Remotely Sensed Images:From Pixel-based to Object-based Approaches[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2013(80):91-106. [65] BRUZZONE L, SERPICO S B. An Iterative Technique for the Detection of Land-cover Transitions in Multitemporal Remote-sensing Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(4):858-867. [66] DEMIR B,BOVOLO F,BRUZZONE L. Detection of Land-cover Transitions in Multitemporal Remote Sensing Images with Active-learning-based Compound Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(5):1930-1941. [67] BAHIRAT K,BOVOLO F,BRUZZONE L,et al. A Novel Domain Adaptation Bayesian Classifier for Updating Land-cover Maps with Class Differences in Source and Target Domains[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(7):2810-2826. [68] YU Wenjuan, ZHOU Weiqi, QIAN Yuguo, et al.A New Approach for Land Cover Classification and Change Analysis:Integrating Backdating and an Object-based Method[J]. Remote Sensing of Environment, 2016(177):37-47. [69] WU Chen, DU Bo, CUI Xiaohui, et al.A Post-classification Change Detection Method Based on Iterative Slow Feature Analysis and Bayesian Soft Fusion[J]. Remote Sensing of Environment, 2017(199):241-255. [70] LE HÉGARAT-MASCLE S,OTTLÉ C,GUÉRIN C. Land Cover Change Detection at Coarse Spatial Scales Based on Iterative Estimation and Previous State Information[J]. Remote Sensing of Environment, 2005, 95(4):464-479. [71] CHEN Jun, LU Miao, CHEN Xuehong, et al. A Spectral Gradient Difference Based Approach for Land Cover Change Detection[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2013(85):1-12. [72] GUEGUEN L, SOILLE P, PESARESI M. Change Detection Based on Information Measure[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(11):4503-4515. [73] CELIK T. Change Detection in Satellite Images Using a Genetic Algorithm Approach[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(2):386-390. [74] CELIK T. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-means Clustering[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(4):772-776. [75] CELIK T, MA Kaikuang. Multitemporal Image Change Detection Using Undecimated Discrete Wavelet Transform and Active Contours[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(2):706-716. [76] EISMANN M T,MEOLA J, HARDIE R C. Hyperspectral Change Detection in the Presence of Diurnal and Seasonal Variations[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(1):237-249. [77] THEILER J. Quantitative Comparison of Quadratic Covariance-based Anomalous Change Detectors[J]. Applied Optics, 2008, 47(28):F12-F26. [78] MEOLA J, EISMANN M T,MOSES R L,et al. Detecting Changes in Hyperspectral Imagery Using a Model-based Approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(7):2647-2661. [79] THEILER J, SCOVEL C, WOHLBERG B, et al. Elliptically Contoured Distributions for Anomalous Change Detection in Hyperspectral Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(2):271-275. [80] WU Chen, ZHANG Liangpei, DU Bo. Hyperspectral Anomaly Change Detection with Slow Feature Analysis[J]. Neurocomputing, 2015(151):175-187. [81] ACITO N,MATTEOLI S,ROSSI A,et al. Hyperspectral Airborne "Viareggio 2013 Trial" Data Collection for Detection Algorithm Assessment[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(6):2365-2376. [82] LIU Sicong, BRUZZONE L,BOVOLO F,et al. Hierarchical Unsupervised Change Detection in Multitemporal Hyperspectral Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(1):244-260. [83] LIU Sicong, BRUZZONE L,BOVOLO F,et al. Sequential Spectral Change Vector Analysis for Iteratively Discovering and Detecting Multiple Changes in Hyperspectral Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(8):4363-4378. [84] 武辰, 杜博, 张良培. 基于独立成分分析的高光谱变化检测[J]. 遥感学报, 2012, 16(3):545-561. WU Chen, DU Bo, ZHANG Liangpei. Hyperspectral Change Detection Based on Independent Component Analysis[J]. Journal of Remote Sensing, 2012,16(3):545-561. [85] ERTURK A,PLAZA A. Informative Change Detection by Unmixing for Hyperspectral Images[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(6):1252-1256. [86] ERTVRK A,IORDACHE M D,PLAZA A. Sparse Unmixing with Dictionary Pruning for Hyperspectral Change Detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(1):321-330. [87] ERTVRK A,IORDACHE M D,PLAZA A. Sparse Unmixing-based Change Detection for Multitemporal Hyperspectral Images[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(2):708-719. [88] LIU Sicong,BRUZZONE L,BOVOLO F,et al. Unsupervised Multitemporal Spectral Unmixing for Detecting Multiple Changes in Hyperspectral Images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(5):2733-2748. [89] TANG Yuqi,ZHANG Liangpei,HUANG Xin. Object-oriented Change Detection Based on the Kolmogorov-Smirnov Test Using High-resolution Multispectral Imagery[J]. International Journal of Remote Sensing, 2011, 32(20):5719-5740. [90] DESCLÉE B, BOGAERT P, DEFOURNY P. Forest Change Detection by Statistical Object-based Method[J]. Remote Sensing of Environment, 2006, 102(1-2):1-11. [91] HUO Chunlei, ZHOU Zhixin, LU Hanqing, et al. Fast Object-level Change Detection for VHR Images[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1):118-122. [92] LU Ping, STUMPF A, KERLE N, et al. Object-oriented Change Detection for Landslide Rapid Mapping[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(4):701-705. [93] RASI R,BEUCHLE R,BODART C,et al. Automatic Updating of an Object-based Tropical Forest Cover Classification and Change Assessment[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(1):66-73. [94] WANG Biao,CHOI S,BYUN Y,et al. Object-based Change Detection of very High Resolution Satellite Imagery Using the Cross-sharpening of Multitemporal Data[J]. IEEE Geoscience and Remote Sensing Letters,2015,12(5):1151-1155. [95] TAN Kun,JIN Xiao,PLAZA A,et al. Automatic Change Detection in High-resolution Remote Sensing Images by Using a Multiple Classifier System and Spectral-spatial Features[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(8):3439-3451. [96] TANG Yuqi, ZHANG Liangpei. Urban Change Analysis with Multi-sensor Multispectral Imagery[J]. Remote Sensing, 2017, 9(3):252. [97] WEN D,HUANG Xin,ZHANG Liangpei,et al. A Novel Automatic Change Detection Method for Urban High-resolution Remotely Sensed Imagery Based on Multi-index Scene Representation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1):609-625. [98] HUO Chunlei,CHEN Keming,DING Kun,et al. Learning Relationship for Very High Resolution Image Change Detection[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(8):3384-3394. [99] LEI Zhen,FANG Tao,HUO Hong,et al. Bi-temporal Texton Forest for Land Cover Transition Detection on Remotely Sensed Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2):1227-1237. [100] PACIFICI F,DEL FRATE F. Automatic Change Detection in Very High Resolution Images With Pulse-coupled Neural Networks[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1):58-62. [101] ZHONG Yanfei,LIU Wenfeng,ZHAO Ji,et al.Change Detection Based on Pulse-coupled Neural Networks and the NMI Feature for High Spatial Resolution Remote Sensing Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(3):537-541. [102] LV Pengyuan,ZHONG Yanfei,ZHAO Ji,et al.Change Detection Based on a Multifeature Probabilistic Ensemble Conditional Random Field Model for High Spatial Resolution Remote Sensing Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2016, 13(12):1965-1969. [103] TANG Yuqi, HUANG Xin, ZHANG Liangpei. Fault-tolerant Building Change Detection from Urban High-resolution Remote Sensing Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(5):1060-1064. [104] HUANG Xin, ZHU Tingting, ZHANG Liangpei, et al.A Novel Building Change Index for Automatic Building Change Detection from High-resolution Remote Sensing Imagery[J]. Remote Sensing Letters, 2014, 5(8):713-722. [105] GUEGUEN L,PESARESI M,EHRLICH D,et al.Urbanization Detection by a Region Based Mixed Information Change Analysis between Built-up Indicators[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(6):2410-2420. [106] HUANG Xin, ZHANG Liangpei, ZHU Tingting.Building Change Detection From Multitemporal High-resolution Remotely Sensed Images Based on a Morphological Building Index[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(1):105-115. [107] SOFINA N,EHLERS M. Building Change Detection Using High Resolution Remotely Sensed Data and GIS[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(8):3430-3438. [108] SINHA P, KUMAR L.Independent Two-step Thresholding of Binary Images in Inter-Annual Land Cover Change/No-Change Identification[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2013(81):31-43. [109] 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. [110] MELGANI F, BAZI Y.Markovian Fusion Approach to Robust Unsupervised Change Detection in Remotely Sensed Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2006, 3(4):457-461. [111] BAZI Y, MELGANI F, AL-SHARARI H D. Unsupervised Change Detection in Multispectral Remotely Sensed Imagery with Level Set Methods[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(8):3178-3187. [112] HAO Ming,SHI Wenzhong,ZHANG Hua,et al.Unsupervised Change Detection with Expectation-maximization-based Level Set[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(1):210-214. [113] GONG Maoguo,ZHANG Puzhao,SU Linzhi,et al.Coupled Dictionary Learning for Change Detection from Multisource Data[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(12):7077-7091. [114] HANSEN M C,LOVELAND T R.A Review of Large Area Monitoring of Land Cover Change Using Landsat Data[J]. Remote Sensing of Environment, 2012(122):66-74. [115] JIN Suming, YANG Limin, ZHU Zhe, et al.A Land Cover Change Detection and Classification Protocol for Updating Alaska NLCD 2001 to 2011[J]. Remote Sensing of Environment, 2017(195):44-55. [116] HUANG Xin, WEN Dawei, LI Jiayi, et al.Multi-level Monitoring of Subtle Urban Changes for the Megacities of China Using High-resolution Multi-view Satellite Imagery[J]. Remote Sensing of Environment, 2017(196):56-75. [117] HUANG Xin, ZHANG Liangpei, ZHU Tingting.Building Change Detection from Multitemporal High-resolution Remotely Sensed Images Based on a Morphological Building Index[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(1):105-115. [118] COPPIN P R, BAUER M E. Digital Change Detection in Forest Ecosystems with Remote Sensing Imagery[J]. Remote Sensing Reviews, 1996, 13(3-4):207-234. [119] SHENG Yongwei, SONG Chunqiao, WANG Jida, et al.Representative Lake Water Extent Mapping at Continental Scales Using Multi-temporal Landsat-8 Imagery[J]. Remote Sensing of Environment, 2016(185):129-141. [120] YANG Renmin,AN Ru,WANG Huilin,et al.Monitoring Wetland Changes on the Source of the Three Rivers from 1990 to 2009, Qinghai, China[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2013, 6(4):1817-1824. [121] NIELSEN E M,PRINCE S D,KOELN G T. Wetland Change Mapping for the U.S.Mid-Atlantic Region Using an Outlier Detection Technique[J]. Remote Sensing of Environment, 2008, 112(11):4061-4074. [122] MICHALEK JL,WAGNER TW,LUCZKOVICH JJ,et al.Multispectral Change Vector Analysis for Monitoring Coastal Marine Environments[J]. Photogrammetric Engineering and Remote Sensing, 1993, 59(3):381-384. [123] SONNENSCHEIN R,KUEMMERLE T,UDELHOVEN T, et al.Differences in Landsat-based Trend Analyses in Drylands due to the Choice of Vegetation Estimate[J]. Remote Sensing of Environment, 2011, 115(6):1408-1420. [124] LATIFOVIC R,POULIOT D. Monitoring Cumulative Long-term Vegetation Changes over the Athabasca Oil Sands Region[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(8):3380-3392. [125] BAGAN H, TAKEUCHI W, KINOSHITA T, et al.Land Cover Classification and Change Analysis in the Horqin Sandy Land from 1975 to 2007[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2010, 3(2):168-177. [126] GROSS J E,GOETZ S J,CIHLAR J. Application of Remote Sensing to Parks and Protected Area Monitoring:Introduction to the Special Issue[J]. Remote Sensing of Environment, 2009, 113(7):1343-1345. [127] BINDSCHADLER R A,SCAMBOS T A,CHOI H, et al.Ice Sheet Change Detection by Satellite Image Differencing[J]. Remote Sensing of Environment, 2010, 114(7):1353-1362. [128] KOLTUNOV A,Ustin SL.Early Fire Detection Using Non-linear Multitemporal Prediction of Thermal Imagery[J]. Remote Sensing of Environment, 2007, 110(1):18-28. [129] BRUNNER D,LEMOINE G,BRUZZONE L. Earthquake Damage Assessment of Buildings Using VHR Optical and SAR Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(5):2403-2420. [130] BOVOLO F, BRUZZONE L.A Split-based Approach to Unsupervised Change Detection in Large-size Multitemporal Images:Application to Tsunami-damage Assessment[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(6):1658-1670. [131] LI Lin, USTIN S L,LAY M. Application of AVIRIS Data in Detection of Oil-induced Vegetation Stress and Cover Change at Jornada, New Mexico[J]. Remote Sensing of Environment, 2005, 94(1):1-16. [132] ABUELGASIM A A,ROSS W D,GOPAL S,et al.Change Detection Using Adaptive Fuzzy Neural Networks:Environmental Damage Assessment after the Gulf War[J]. Remote Sensing of Environment, 1999, 70(2):208-223. [133] MA Guorui, SUI Haigang, LI Pingxiang, et al.A Kernel Change Detection Algorithm in Remote Sense Imagery[C]//Proceedings of 2006 IEEE International Conference on Geoscience and Remote Sensing Symposium. Denver, CO, USA:IEEE, 2006:220-224. [134] ZHAO Bei, ZHONG Yanfei, ZHANG Liangpei.A Spectral-structural Bag-of-features Scene Classifier for Very High Spatial Resolution Remote Sensing Imagery[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016(116):73-85. [135] ZHANG Fan,DU Bo,ZHANG Liangpei.Scene Classification via a Gradient Boosting Random Convolutional Network Framework[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(3):1793-1802. [136] WU Chen, ZHANG Lefei, ZHANG Liangpei.A Scene Change Detection Framework for Multi-temporal Very High Resolution Remote Sensing Images[J]. Signal Processing, 2016(124):184-197. [137] CARDILLE J A,FORTIN J A. Bayesian Updating of Land-cover Estimates in a Data-rich Environment[J]. Remote Sensing of Environment, 2016(186):234-249. [138] LING Feng, LI Wenbo, DU Yun, et al.Land Cover Change Mapping at the Subpixel Scale with Different Spatial-resolution Remotely Sensed Imagery[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(1):182-186. [139] WANG Qunming,ATKINSON P M,SHI Wenzhong.Fast Subpixel Mapping Algorithms for Subpixel Resolution Change Detection[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(4):1692-1706. [140] ZHANG Puzhao, GONG Maoguo, SU Linzhi, et al.Change Detection Based on Deep Feature Representation and Mapping Transformation for Multi-spatial-resolution Remote Sensing Images[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016(116):24-41. [141] LIU Jia,GONG Maoguo,QIN Kai,et al.A Deep Convolutional Coupling Network for Change Detection Based on Heterogeneous Optical and Radar Images[J]. IEEE Transactions on Neural Networks and Learning Systems, 2017.DOI:10.1109/TNNLS.2016.2636227.(in Press) |
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