Land Cover Change Detection Based on Adaptive Contextual Information Using Bi-Temporal Remote Sensing Images
暂无分享,去创建一个
Jon Atli Benediktsson | Yixiang Chen | Zhiyong Lv | Tongfei Liu | Penglin Zhang | J. Benediktsson | Penglin Zhang | Tongfei Liu | Z. Lv | Yixiang Chen
[1] W. Malila. Change Vector Analysis: An Approach for Detecting Forest Changes with Landsat , 1980 .
[2] Cheng Bo,et al. Change Detection Using Change Vector Analysis from Landsat TM Images in Wuhan , 2011 .
[3] R. Tateishi,et al. Evaluating urban expansion and land use change in Shijiazhuang, China, by using GIS and remote sensing , 2006 .
[4] Farid Melgani,et al. Unsupervised Change Detection in Multispectral Remotely Sensed Imagery With Level Set Methods , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[5] Jing Wei,et al. Impact of Land-Use and Land-Cover Change on urban air quality in representative cities of China , 2016 .
[6] Qiang Chen,et al. Multi-Feature Object-Based Change Detection Using Self-Adaptive Weight Change Vector Analysis , 2016, Remote. Sens..
[7] Maoguo Gong,et al. Change Detection in Synthetic Aperture Radar Images based on Image Fusion and Fuzzy Clustering , 2012, IEEE Transactions on Image Processing.
[8] Wenzhong Shi,et al. Unsupervised Change Detection With Expectation-Maximization-Based Level Set , 2014, IEEE Geoscience and Remote Sensing Letters.
[9] O. El-Kawy,et al. Land use and land cover change detection in the western Nile delta of Egypt using remote sensing data , 2011 .
[10] Suming Jin,et al. A comprehensive change detection method for updating the National Land Cover Database to circa 2011 , 2013 .
[11] Jon Atli Benediktsson,et al. Semi-Automatic System for Land Cover Change Detection Using Bi-Temporal Remote Sensing Images , 2017, Remote. Sens..
[12] Joanne C. White,et al. Regional detection, characterization, and attribution of annual forest change from 1984 to 2012 using Landsat-derived time-series metrics , 2015 .
[13] Zhe Zhu,et al. Change detection using landsat time series: A review of frequencies, preprocessing, algorithms, and applications , 2017 .
[14] A. Dewan,et al. Land use and land cover change in Greater Dhaka, Bangladesh: Using remote sensing to promote sustainable urbanization , 2009 .
[15] D. Lu,et al. Change detection techniques , 2004 .
[16] G. Modica,et al. Spatio-temporal analysis of the urban–rural gradient structure: an application in a Mediterranean mountainous landscape (Serra San Bruno, Italy) , 2012 .
[17] Nicolas Vayatis,et al. A review of change point detection methods , 2018, ArXiv.
[18] Hui-Fuang Ng,et al. Automatic thresholding for defect detection , 2004, Third International Conference on Image and Graphics (ICIG'04).
[19] D. Lu,et al. Estimation of land surface temperature-vegetation abundance relationship for urban heat island studies , 2004 .
[20] Dengsheng Lu,et al. Land‐cover binary change detection methods for use in the moist tropical region of the Amazon: a comparative study , 2005 .
[21] Turgay Çelik,et al. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering , 2009, IEEE Geoscience and Remote Sensing Letters.
[22] Wenzhong Shi,et al. Level set evolution with local uncertainty constraints for unsupervised change detection , 2017 .
[23] Ashbindu Singh,et al. Review Article Digital change detection techniques using remotely-sensed data , 1989 .
[24] Lorenzo Bruzzone,et al. A Theoretical Framework for Change Detection Based on a Compound Multiclass Statistical Model of the Difference Image , 2018, IEEE Transactions on Geoscience and Remote Sensing.
[25] M. Mcdonnell,et al. The use of gradient analysis studies in advancing our understanding of the ecology of urbanizing landscapes: current status and future directions , 2008, Landscape Ecology.
[26] Liangpei Zhang,et al. An Adaptive Multiscale Information Fusion Approach for Feature Extraction and Classification of IKONOS Multispectral Imagery Over Urban Areas , 2007, IEEE Geoscience and Remote Sensing Letters.
[27] C. Prakasam,et al. Land use and land cover change detection through remote sensing approach: a case study of Kodaikanal Taluk, Tamil Nadu. , 2010 .
[28] D. Quattrochi,et al. Land-Use and Land-Cover Change, Urban Heat Island Phenomenon, and Health Implications: A Remote Sensing Approach , 2003 .
[29] Nicholas J. Tate,et al. A critical synthesis of remotely sensed optical image change detection techniques , 2015 .
[30] Badrinath Roysam,et al. Image change detection algorithms: a systematic survey , 2005, IEEE Transactions on Image Processing.
[31] Jon Atli Benediktsson,et al. Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for Very High Resolution Aerial Imagery Classification , 2017, Remote. Sens..
[32] Jon Atli Benediktsson,et al. Post-Processing Approach for Refining Raw Land Cover Change Detection of Very High-Resolution Remote Sensing Images , 2018, Remote. Sens..
[33] Turgay Çelik,et al. A Bayesian approach to unsupervised multiscale change detection in synthetic aperture radar images , 2010, Signal Process..
[34] C. Woodcock,et al. Continuous change detection and classification of land cover using all available Landsat data , 2014 .
[35] Zeki Yetgin,et al. Unsupervised Change Detection of Satellite Images Using Local Gradual Descent , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[36] Yan Guo,et al. The comparative study of three methods of remote sensing image change detection , 2009, 2009 17th International Conference on Geoinformatics.
[37] Zhiyong Lv,et al. Local Spectrum-Trend Similarity Approach for Detecting Land-Cover Change by Using SPOT-5 Satellite Images , 2014, IEEE Geoscience and Remote Sensing Letters.
[38] Francesca Bovolo,et al. A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar Domain , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[39] Giuseppe Modica,et al. GIS and Remote Sensing to Study Urban-Rural Transformation During a Fifty-Year Period , 2011, ICCSA.
[40] ZhiYong Lv,et al. Contextual Analysis Based Approach for Detecting Change from High Resolution Satellite Imagery , 2017, Journal of the Indian Society of Remote Sensing.
[41] David Saurí,et al. Urban sprawl pattern and land-use change detection in Yazd, Iran , 2011 .
[42] Jianwu Fang,et al. Unsupervised Object-Based Change Detection via a Weibull Mixture Model-Based Binarization for High-Resolution Remote Sensing Images , 2018, IEEE Geoscience and Remote Sensing Letters.
[43] Turgay Çelik,et al. Change Detection in Satellite Images Using a Genetic Algorithm Approach , 2010, IEEE Geoscience and Remote Sensing Letters.
[44] Lorenzo Bruzzone,et al. Automatic analysis of the difference image for unsupervised change detection , 2000, IEEE Trans. Geosci. Remote. Sens..
[45] Suming Jin,et al. A land cover change detection and classification protocol for updating Alaska NLCD 2001 to 2011. , 2017 .
[46] Qiming Zhou,et al. Gradient analysis of landscape spatial and temporal pattern changes in Beijing metropolitan area , 2010 .
[47] Patrick Bogaert,et al. Forest change detection by statistical object-based method , 2006 .
[48] Jon Atli Benediktsson,et al. A modified mean filter for improving the classification performance of very high-resolution remote-sensing imagery , 2018 .
[49] Pol Coppin,et al. Review ArticleDigital change detection methods in ecosystem monitoring: a review , 2004 .
[50] N. Otsu. A threshold selection method from gray level histograms , 1979 .