A novel approach for change detection of remotely sensed images using semi-supervised multiple classifier system M Roy, S Ghosh, A Ghosh Information Sciences 269, 35-47, 2014 | 75 | 2014 |
Semi-supervised change detection using modified self-organizing feature map neural network S Ghosh, M Roy, A Ghosh Applied Soft Computing 15, 1-20, 2014 | 68 | 2014 |
Deep Neural Network-based Heterogeneous Domain Adaptation using Ensemble Decision Making in Land Cover Classification I Kalita, M Roy IEEE Transactions on Artificial Intelligence, 2020 | 26 | 2020 |
A neural approach under active learning mode for change detection in remotely sensed images M Roy, S Ghosh, A Ghosh IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 23 | 2014 |
Land-cover classification of remotely sensed images using compressive sensing having severe scarcity of labeled patterns M Roy, F Melgani, A Ghosh, E Blanzieri, S Ghosh IEEE Geoscience and Remote Sensing Letters 12 (6), 1257-1261, 2015 | 20 | 2015 |
A neural approach under transfer learning for domain adaptation in land-cover classification using two-level cluster mapping S Chakraborty, M Roy Applied Soft Computing, 2017 | 19 | 2017 |
Ensemble of multilayer perceptrons for change detection in remotely sensed images M Roy, D Routaray, S Ghosh, A Ghosh IEEE Geoscience and Remote Sensing Letters 11 (1), 49-53, 2014 | 19 | 2014 |
Deep Learning-Based Cross-Sensor Domain Adaptation Under Active Learning for Land Cover Classification I Kalita, RNS Kumar, M Roy IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 12 | 2021 |
Handling the Class Imbalance in Land-Cover Classification Using Bagging-Based Semisupervised Neural Approach S Chakraborty, J Phukan, M Roy, BB Chaudhuri IEEE Geoscience and Remote Sensing Letters, 2019 | 9 | 2019 |
Crop classification using aerial images by analyzing an ensemble of DCNNs under multi-filter & multi-scale framework I Kalita, GP Singh, M Roy Multimedia Tools and Applications, 1-25, 2022 | 8 | 2022 |
Modified self-organizing feature map neural network with semi-supervision for change detection in remotely sensed images S Ghosh, M Roy International Conference on Pattern Recognition and Machine Intelligence, 98-103, 2011 | 6 | 2011 |
A multi-level weighted transformation based neuro-fuzzy domain adaptation technique using stacked auto-encoder for land-cover classification S Chakraborty, M Roy International Journal of Remote Sensing 41 (17), 6831-6857, 2020 | 5 | 2020 |
Semisupervised Two-Level Fusion-Based Autoencoded Approach for Low-Cost Domain Adaptation of Remotely Sensed Images S Chakraborty, M Roy, F Melgani IEEE Geoscience and Remote Sensing Letters, 2019 | 5 | 2019 |
Class-Wise Subspace Alignment-Based Unsupervised Adaptive Land Cover Classification in Scene-Level Using Deep Siamese Network I Kalita, M Roy IEEE Transactions on Neural Networks and Learning Systems, 2022 | 4 | 2022 |
A Deep Semi-supervised Approach for Multi-label Land-Cover Classification Under Scarcity of Labelled Images S Chakraborty, N Agarwal, M Roy Soft Computing for Problem Solving, 1-12, 2021 | 4 | 2021 |
Change detection in remotely sensed images using semi-supervised clustering algorithms M Roy, S Ghosh, A Ghosh International Journal of Knowledge Engineering and Soft Data Paradigms 4 (2 …, 2013 | 4 | 2013 |
Search-based semi-supervised clustering algorithms for change detection in remotely sensed images M Roy, S Ghosh, A Ghosh India Conference (INDICON), 2012 Annual IEEE, 503-507, 2012 | 4 | 2012 |
Semi-supervised Hopfield-Type Neural Network for change detection in remotely sensed images M Roy, S Das, S Ghosh, A Ghosh Recent Advances in Information Technology (RAIT), 2012 1st International …, 2012 | 4 | 2012 |
Deep Ensemble Network for Handling Class-Imbalance Problem in Land-Cover Classification I Kalita, S Chakraborty, M Roy 2019 International Conference on Information Technology (ICIT), 505-509, 2019 | 2 | 2019 |
Domain adaptation for land-cover classification of remotely sensed images using ensemble of Multilayer Perceptrons S Chakraborty, M Roy Recent Advances in Information Technology (RAIT), 2016 3rd International …, 2016 | 2 | 2016 |