Fuzzy clustering algorithms for unsupervised change detection in remote sensing images A Ghosh, NS Mishra, S Ghosh Information Sciences 181 (4), 699-715, 2011 | 409 | 2011 |
A context-sensitive technique for unsupervised change detection based on Hopfield-type neural networks S Ghosh, L Bruzzone, S Patra, F Bovolo, A Ghosh IEEE Transactions on Geoscience and Remote Sensing 45 (3), 778-789, 2007 | 179 | 2007 |
Self-adaptive differential evolution for feature selection in hyperspectral image data A Ghosh, A Datta, S Ghosh Applied Soft Computing 13 (4), 1969-1977, 2013 | 163 | 2013 |
Histogram thresholding for unsupervised change detection of remote sensing images S Patra, S Ghosh, A Ghosh International journal of remote sensing 32 (21), 6071-6089, 2011 | 101 | 2011 |
Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images NS Mishra, S Ghosh, A Ghosh Applied Soft Computing 12 (8), 2683-2692, 2012 | 99 | 2012 |
Combination of clustering and ranking techniques for unsupervised band selection of hyperspectral images A Datta, S Ghosh, A Ghosh IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015 | 90 | 2015 |
Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems A Halder, A Ghosh, S Ghosh Applied Soft Computing 11 (8), 5770-5781, 2011 | 76 | 2011 |
Aggregation pheromone density based data clustering A Ghosh, A Halder, M Kothari, S Ghosh Information Sciences 178 (13), 2816-2831, 2008 | 76 | 2008 |
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 |
Multiobjective Evolutionary Algorithms for Knowledge Discovery from Databases A Ghosh, S Dehuri, S Ghosh | 58 | 2008 |
Swarm intelligence for multi-objective problems in data mining CC Coello, S Dehuri, S Ghosh Springer Science & Business Media, 2009 | 57 | 2009 |
Robust global and local fuzzy energy based active contour for image segmentation A Mondal, S Ghosh, A Ghosh Applied Soft Computing 47, 191-215, 2016 | 56 | 2016 |
Object detection from videos captured by moving camera by fuzzy edge incorporated Markov random field and local histogram matching A Ghosh, BN Subudhi, S Ghosh IEEE Transactions on Circuits and Systems for Video Technology 22 (8), 1127-1135, 2012 | 52 | 2012 |
An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network S Ghosh, S Patra, A Ghosh International journal of approximate reasoning 50 (1), 37-50, 2009 | 50 | 2009 |
PCA, kernel PCA and dimensionality reduction in hyperspectral images A Datta, S Ghosh, A Ghosh Advances in Principal Component Analysis: Research and Development, 19-46, 2018 | 48 | 2018 |
Designing Hopfield type networks using genetic algorithms and its comparison with simulated annealing SK Pal, S De, A Ghosh International Journal of Pattern Recognition and Artificial Intelligence 11 …, 1997 | 42 | 1997 |
Band elimination of hyperspectral imagery using partitioned band image correlation and capacitory discrimination A Datta, S Ghosh, A Ghosh International journal of remote sensing 35 (2), 554-577, 2014 | 41 | 2014 |
Genotypic and phenotypic assortative mating in genetic algorithm S De, SK Pal, A Ghosh Information Sciences 105 (1-4), 209-226, 1998 | 40 | 1998 |
Unsupervised change detection of remotely sensed images using fuzzy clustering S Ghosh, NS Mishra, A Ghosh 2009 Seventh International Conference on Advances in Pattern Recognition …, 2009 | 38 | 2009 |