Neural network, self-organization and object extraction
Pattern Recognition Letters - Special issue on artificial neural networks
Self-organizing maps
Introductory Digital Image Processing: A Remote Sensing Perspective
Introductory Digital Image Processing: A Remote Sensing Perspective
Using Unlabelled Data to Train a Multilayer Perceptron
Neural Processing Letters
Constrained K-means Clustering with Background Knowledge
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Semi-supervised Clustering by Seeding
ICML '02 Proceedings of the Nineteenth International Conference on Machine Learning
Learning with Constrained and Unlabelled Data
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Neural Networks: A Comprehensive Foundation (3rd Edition)
Semisupervised Clustering with Metric Learning using Relative Comparisons
IEEE Transactions on Knowledge and Data Engineering
Change Detection of Remote Sensing Images with Semi-supervised Multilayer Perceptron
Fundamenta Informaticae
International Journal of Approximate Reasoning
Error bounds of multi-graph regularized semi-supervised classification
Information Sciences: an International Journal
Aggregation Pheromone Density Based Pattern Classification
Fundamenta Informaticae
Semi-Supervised Learning
Discriminative semi-supervised feature selection via manifold regularization
IEEE Transactions on Neural Networks
Fuzzy clustering algorithms for unsupervised change detection in remote sensing images
Information Sciences: an International Journal
Semi-Supervised Learning via Regularized Boosting Working on Multiple Semi-Supervised Assumptions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
A Hopfield Neural Network for Image Change Detection
IEEE Transactions on Neural Networks
A Kernel Approach for Semisupervised Metric Learning
IEEE Transactions on Neural Networks
Semisupervised Learning Using Negative Labels
IEEE Transactions on Neural Networks
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In the present article, semi-supervised learning is integrated with an unsupervised context-sensitive change detection technique based on modified self-organizing feature map (MSOFM) network. In the proposed methodology, training of the MSOFM network is initially performed using only a few labeled patterns. Thereafter, the membership values, in both the classes, for each unlabeled pattern are determined using the concept of fuzzy set theory. The soft class label for each of the unlabeled patterns is then estimated using the membership values of its K nearest neighbors. Here, training of the network using the unlabeled patterns along with a few labeled patterns is carried out iteratively. A heuristic method has been suggested to select some patterns from the unlabeled ones for training. To check the effectiveness of the proposed methodology, experiments are conducted on three multi-temporal and multi-spectral data sets. Performance of the proposed work is compared with that of two unsupervised techniques, a supervised technique and two semi-supervised techniques. Results are also statistically validated using paired t-test. The proposed method produced promising results.