Intelligent image segmentation model for remote sensing applications

[1]  Xin Wang,et al.  A Multi-scale Segmentation Method of Oil Spills in SAR Images Based on JSEG and Spectral Clustering , 2014 .

[2]  Jianqiang Gao,et al.  A spectral–textural kernel-based classification method of remotely sensed images , 2015, Neural Computing and Applications.

[3]  Li Feng,et al.  Toward Evaluating Multiscale Segmentations of High Spatial Resolution Remote Sensing Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[4]  Qiang Wang,et al.  High-Resolution Remote Multi-Spectral Sensing Images Based on Texture Features , 2014, CIT 2014.

[5]  Guifeng Zhang,et al.  A Scale-Synthesis Method for High Spatial Resolution Remote Sensing Image Segmentation , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[6]  Bernd Resch,et al.  Analysing and Predicting Micro-Location Patterns of Software Firms , 2017, ISPRS Int. J. Geo Inf..

[7]  Liangpei Zhang,et al.  Multiagent Object-Based Classifier for High Spatial Resolution Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[8]  Yuanjie Zheng,et al.  Unsupervised Segmentation on Image with JSEG Using Soft Class Map , 2004, IDEAL.

[9]  Robert M. Haralick,et al.  Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..

[10]  Arno Schäpe,et al.  Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .

[11]  Lizhong Xu,et al.  Multispectral and panchromatic image fusion based on improved bilateral filter , 2011 .

[12]  Josiane Zerubia,et al.  Supervised segmentation of remote sensing images based on a tree-structured MRF model , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Chao Wang,et al.  An unsupervised multi-scale segmentation method based on automated parameterization , 2016, Arabian Journal of Geosciences.

[14]  Chen Ning,et al.  Multi-class remote sensing object recognition based on discriminative sparse representation. , 2016, Applied optics.

[15]  Aiye Shi,et al.  Change detection of bitemporal multispectral images based on FCM and D-S theory , 2016, EURASIP J. Adv. Signal Process..

[16]  Xin Wang,et al.  Object-oriented change detection approach for high-resolution remote sensing images based on multiscale fusion , 2013, Journal of Applied Remote Sensing.

[17]  Du Q. Huynh,et al.  Unsupervised change detection based on robust chi-squared transform for bitemporal remotely sensed images , 2014 .

[18]  Julien Michel,et al.  Stable Mean-Shift Algorithm and Its Application to the Segmentation of Arbitrarily Large Remote Sensing Images , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Hong Huo,et al.  A Novel Texture-Preceded Segmentation Algorithm for High-Resolution Imagery , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[20]  Lizhong Xu,et al.  A Special Issue of Intelligent Automation and Soft Computing - Intelligent Information Processing And System Optimization , 2011, Intell. Autom. Soft Comput..

[21]  Lizhong Xu,et al.  A novel multi-scale segmentation algorithm for high resolution remote sensing images based on wavelet transform and improved JSEG algorithm , 2014 .

[22]  Daoqiang Zhang,et al.  Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[23]  Jianhua Liu,et al.  Adaptive Algorithm for Automated Polygonal Approximation of High Spatial Resolution Remote Sensing Imagery Segmentation Contours , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[24]  Evandro O. T. Salles,et al.  Unsupervised color image segmentation based on local fractal descriptor and J-images , 2010, 2010 IEEE International Conference on Industrial Technology.