Study on the intelligent extraction of seismic damage based on the Mean-Shift segmentation
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[1] Dorin Comaniciu,et al. Robust analysis of feature spaces: color image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[2] Peijun Li,et al. Urban building damage detection from very high resolution imagery using OCSVM and spatial features , 2010 .
[3] Degang Chen,et al. A new method for estimating spectral performance of ADC from INL , 2010, 2010 IEEE International Test Conference.
[4] Huili Gong,et al. Collapsed houses automatic identification based on texture changes of post-earthquake aerial remote sensing image , 2010, 2010 18th International Conference on Geoinformatics.
[5] Dorin Comaniciu,et al. Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[6] Charles K. Huyck,et al. Object-Oriented Image Understanding and Post-Earthquake Damage Assessment for the 2003 Bam, Iran, Earthquake , 2005 .
[7] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[8] Jean Carletta,et al. Assessing Agreement on Classification Tasks: The Kappa Statistic , 1996, CL.
[9] Antonio J. Plaza,et al. Recent Developments in High Performance Computing for Remote Sensing: A Review , 2011, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[10] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .