Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Algorithms for clustering data
Algorithms for clustering data
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Fuzzy sets in pattern recognition: methodology and methods
Pattern Recognition
A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fuzzy geometry in image analysis
Fuzzy Sets and Systems
ACM Computing Surveys (CSUR)
Markov random field modeling in image analysis
Markov random field modeling in image analysis
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Pattern Recognition with Fuzzy Objective Function Algorithms
Pattern Recognition with Fuzzy Objective Function Algorithms
Fuzzy Sets and Systems: Theory and Applications
Fuzzy Sets and Systems: Theory and Applications
A novel fuzzy logic approach to mammogram contrast enhancement
Information Sciences—Applications: An International Journal
Scaling genetically guided fuzzy clustering
ISUMA '95 Proceedings of the 3rd International Symposium on Uncertainty Modelling and Analysis
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A cluster validation index for GK cluster analysis based on relative degree of sharing
Information Sciences—Informatics and Computer Science: An International Journal
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Remote Sensing Digital Image Analysis: An Introduction
Remote Sensing Digital Image Analysis: An Introduction
Advances in Fuzzy Clustering and its Applications
Advances in Fuzzy Clustering and its Applications
A currency crisis and its perception with fuzzy C-means
Information Sciences: an International Journal
An image coding/decoding method based on direct and inverse fuzzy transforms
International Journal of Approximate Reasoning
Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron
Fundamenta Informaticae
Genetic Algorithm Based Clustering: A Survey
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Pattern Recognition, Fourth Edition
Pattern Recognition, Fourth Edition
Fuzzy data envelopment analysis and its application to location problems
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Fuzzy Systems Engineering: Toward Human-Centric Computing
Fuzzy Systems Engineering: Toward Human-Centric Computing
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases
Clustering with a genetically optimized approach
IEEE Transactions on Evolutionary Computation
Self-organization for object extraction using a multilayer neural network and fuzziness measures
IEEE Transactions on Fuzzy Systems
On cluster validity for the fuzzy c-means model
IEEE Transactions on Fuzzy Systems
The fuzzy geometry of image subsets
Pattern Recognition Letters
IEEE Transactions on Image Processing
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
A fuzzy minimax clustering model and its applications
Information Sciences: an International Journal
k-Partite graph reinforcement and its application in multimedia information retrieval
Information Sciences: an International Journal
Semi-supervised fuzzy clustering algorithms for change detection in remote sensing images
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Fusion of supervised and unsupervised learning for improved classification of hyperspectral images
Information Sciences: an International Journal
Cascaded classification of high resolution remote sensing images using multiple contexts
Information Sciences: an International Journal
Black hole: A new heuristic optimization approach for data clustering
Information Sciences: an International Journal
Uncertainty in ecosystem mapping by remote sensing
Computers & Geosciences
A Hopfield neural network applied to the fuzzy maximum cut problem under credibility measure
Information Sciences: an International Journal
Information Sciences: an International Journal
Clustering construction on a multimodal probability model
Information Sciences: an International Journal
Parallel unsupervised Synthetic Aperture Radar image change detection on a graphics processing unit
International Journal of High Performance Computing Applications
A self-trained semisupervised SVM approach to the remote sensing land cover classification
Computers & Geosciences
Type-2 fuzzy tool condition monitoring system based on acoustic emission in micromilling
Information Sciences: an International Journal
Combining supervised and unsupervised models via unconstrained probabilistic embedding
Information Sciences: an International Journal
Relative entropy fuzzy c-means clustering
Information Sciences: an International Journal
Semi-supervised change detection using modified self-organizing feature map neural network
Applied Soft Computing
Change detection in remotely sensed images using semi-supervised clustering algorithms
International Journal of Knowledge Engineering and Soft Data Paradigms
Information Sciences: an International Journal
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In this paper, we propose a context-sensitive technique for unsupervised change detection in multitemporal remote sensing images. The technique is based on fuzzy clustering approach and takes care of spatial correlation between neighboring pixels of the difference image produced by comparing two images acquired on the same geographical area at different times. Since the ranges of pixel values of the difference image belonging to the two clusters (changed and unchanged) generally have overlap, fuzzy clustering techniques seem to be an appropriate and realistic choice to identify them (as we already know from pattern recognition literatures that fuzzy set can handle this type of situation very well). Two fuzzy clustering algorithms, namely fuzzy c-means (FCM) and Gustafson-Kessel clustering (GKC) algorithms have been used for this task in the proposed work. For clustering purpose various image features are extracted using the neighborhood information of pixels. Hybridization of FCM and GKC with two other optimization techniques, genetic algorithm (GA) and simulated annealing (SA), is made to further enhance the performance. To show the effectiveness of the proposed technique, experiments are conducted on two multispectral and multitemporal remote sensing images. A fuzzy cluster validity index (Xie-Beni) is used to quantitatively evaluate the performance. Results are compared with those of existing Markov random field (MRF) and neural network based algorithms and found to be superior. The proposed technique is less time consuming and unlike MRF does not require any a priori knowledge of distributions of changed and unchanged pixels.