Optimal Decision Fusion for Urban Land-Use/Land-Cover Classification Based on Adaptive Differential Evolution Using Hyperspectral and LiDAR Data
暂无分享,去创建一个
Qiong Cao | Liangpei Zhang | Bei Zhao | Ailong Ma | Yanfei Zhong | Ji Zhao | Ji Zhao | Qiong Cao | A. Ma | Liangpei Zhang | Bei Zhao | Yanfei Zhong
[1] Amit Konar,et al. Automatic image pixel clustering with an improved differential evolution , 2009, Appl. Soft Comput..
[2] Liangpei Zhang,et al. An Adaptive Differential Evolution Endmember Extraction Algorithm for Hyperspectral Remote Sensing Imagery , 2014, IEEE Geoscience and Remote Sensing Letters.
[3] Liangpei Zhang,et al. Remote Sensing Image Subpixel Mapping Based on Adaptive Differential Evolution , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[4] Liangpei Zhang,et al. Adaptive Multiobjective Memetic Fuzzy Clustering Algorithm for Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[5] Chin-Teng Lin,et al. Nonlinear System Control Using Adaptive Neural Fuzzy Networks Based on a Modified Differential Evolution , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[6] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[7] Ujjwal Maulik,et al. Automatic Fuzzy Clustering Using Modified Differential Evolution for Image Classification , 2010, IEEE Transactions on Geoscience and Remote Sensing.
[8] Ponnuthurai N. Suganthan,et al. A novel hybrid discrete differential evolution algorithm for blocking flow shop scheduling problems , 2010, Comput. Oper. Res..
[9] Antonio J. Plaza,et al. Hyperspectral Image Segmentation Using a New Bayesian Approach With Active Learning , 2011, IEEE Transactions on Geoscience and Remote Sensing.
[10] Liangpei Zhang,et al. Dimensionality Reduction Based on Clonal Selection for Hyperspectral Imagery , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[11] Rui Huang,et al. Using Random Forest to integrate lidar data and hyperspectral imagery for land cover classification , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.
[12] Frank Canters,et al. Synergistic Use of LiDAR and APEX Hyperspectral Data for High-Resolution Urban Land Cover Mapping , 2016, Remote. Sens..
[13] Jon Atli Benediktsson,et al. Class-Specific Sparse Multiple Kernel Learning for Spectral–Spatial Hyperspectral Image Classification , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[14] Lin Zhao,et al. Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery , 2016 .
[15] Chunyang He,et al. Environmental degradation in the urban areas of China: Evidence from multi-source remote sensing data , 2017 .
[16] Arthur C. Sanderson,et al. Minimal representation multisensor fusion using differential evolution , 1999, IEEE Trans. Syst. Man Cybern. Part A.
[17] Amol D. Vibhute,et al. Performance evaluation of urban areas Land Use classification from Hyperspectral data by using Mahalanobis classifier , 2017, 2017 11th International Conference on Intelligent Systems and Control (ISCO).
[18] R. Storn,et al. Differential Evolution: A Practical Approach to Global Optimization (Natural Computing Series) , 2005 .
[19] Aleksandra Pizurica,et al. Combining feature fusion and decision fusion for classification of hyperspectral and LiDAR data , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[20] Jon Atli Benediktsson,et al. Fusion of hyperspectral and LiDAR data in classification of urban areas , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[21] Hui Li,et al. Enhanced Differential Evolution With Adaptive Strategies for Numerical Optimization , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[22] Janez Brest,et al. Self-Adapting Control Parameters in Differential Evolution: A Comparative Study on Numerical Benchmark Problems , 2006, IEEE Transactions on Evolutionary Computation.
[23] Jon Atli Benediktsson,et al. Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods , 2013, IEEE Signal Processing Magazine.
[24] Swagatam Das,et al. Kernel-induced fuzzy clustering of image pixels with an improved differential evolution algorithm , 2010, Inf. Sci..
[25] Yao Li,et al. Evaluation of the Chinese Fine Spatial Resolution Hyperspectral Satellite TianGong-1 in Urban Land-Cover Classification , 2016, Remote. Sens..
[26] Johannes R. Sveinsson,et al. Classification of hyperspectral data from urban areas based on extended morphological profiles , 2005, IEEE Transactions on Geoscience and Remote Sensing.
[27] Qian Du,et al. Hyperspectral and LiDAR Data Fusion: Outcome of the 2013 GRSS Data Fusion Contest , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[28] Xiaohui Yuan,et al. Application of enhanced discrete differential evolution approach to unit commitment problem , 2009 .
[29] H. Akaike,et al. Information Theory and an Extension of the Maximum Likelihood Principle , 1973 .
[30] Liangpei Zhang,et al. Sub-Pixel Mapping Based on a MAP Model With Multiple Shifted Hyperspectral Imagery , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[31] P. N. Suganthan,et al. Differential Evolution Algorithm With Strategy Adaptation for Global Numerical Optimization , 2009, IEEE Transactions on Evolutionary Computation.
[32] Rainer Storn,et al. Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..
[33] Amit Konar,et al. Two improved differential evolution schemes for faster global search , 2005, GECCO '05.
[34] Liangpei Zhang,et al. An Adaptive Memetic Fuzzy Clustering Algorithm With Spatial Information for Remote Sensing Imagery , 2014, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[35] Amit Konar,et al. Differential Evolution Using a Neighborhood-Based Mutation Operator , 2009, IEEE Transactions on Evolutionary Computation.
[36] Arthur C. Sanderson,et al. JADE: Adaptive Differential Evolution With Optional External Archive , 2009, IEEE Transactions on Evolutionary Computation.
[37] Nicolas Courty,et al. Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions , 2015, ArXiv.
[38] Craig Glennie,et al. Fusion of waveform LiDAR data and hyperspectral imagery for land cover classification , 2015 .
[39] Jon Atli Benediktsson,et al. Land-cover classification using both hyperspectral and LiDAR data , 2015 .
[40] Liangpei Zhang,et al. Detail-Preserving Smoothing Classifier Based on Conditional Random Fields for High Spatial Resolution Remote Sensing Imagery , 2015, IEEE Transactions on Geoscience and Remote Sensing.
[41] Swagatam Das,et al. Automatic Clustering Using an Improved Differential Evolution Algorithm , 2007 .
[42] Christian Debes,et al. Automatic fusion and classification of hyperspectral and LiDAR data using random forests , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.
[43] Xiangguo Lin,et al. SVM-Based Classification of Segmented Airborne LiDAR Point Clouds in Urban Areas , 2013, Remote. Sens..
[44] Liangpei Zhang,et al. High-Resolution Image Classification Integrating Spectral-Spatial-Location Cues by Conditional Random Fields , 2016, IEEE Transactions on Image Processing.
[45] Q. Mcnemar. Note on the sampling error of the difference between correlated proportions or percentages , 1947, Psychometrika.
[46] Doreen S. Boyd,et al. Mapping Complex Urban Land Cover from Spaceborne Imagery: The Influence of Spatial Resolution, Spectral Band Set and Classification Approach , 2016, Remote. Sens..
[47] Yongmin Kim,et al. Generation of Land Cover Maps through the Fusion of Aerial Images and Airborne LiDAR Data in Urban Areas , 2016, Remote. Sens..