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 | 171 | 2013 |
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 | 98 | 2015 |
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 | 54 | 2018 |
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 |
Unsupervised band extraction for hyperspectral images using clustering and kernel principal component analysis A Datta, S Ghosh, A Ghosh International journal of remote sensing 38 (3), 850-873, 2017 | 32 | 2017 |
Supervised feature extraction of hyperspectral images using partitioned maximum margin criterion A Datta, S Ghosh, A Ghosh IEEE Geoscience and Remote Sensing Letters 14 (1), 82-86, 2016 | 32 | 2016 |
Clustering based band selection for hyperspectral images A Datta, S Ghosh, A Ghosh 2012 international conference on communications, devices and intelligent …, 2012 | 17 | 2012 |
Wrapper based feature selection in hyperspectral image data using self-adaptive differential evolution A Datta, S Ghosh, A Ghosh 2011 International Conference on Image Information Processing, 1-6, 2011 | 17 | 2011 |
Facial expression recognition using 2DPCA on segmented images DI Islam, SRN Anal, A Datta Advanced Computational and Communication Paradigms: Proceedings of …, 2018 | 13 | 2018 |
Hyperspectral Image Segmentation using Multi-dimensional Histogram over Principal Component Images A Datta, A Chakravorty 2018 International Conference on Advances in Computing, Communication …, 2018 | 9 | 2018 |
Image steganography using advanced encryption standard for implantation of audio/video data C Lalengmawia, A Bhattacharya, A Datta 2016 International Conference on Recent Trends in Information Technology …, 2016 | 8 | 2016 |
Maximum margin criterion based band extraction of hyperspectral imagery A Datta, S Ghosh, A Ghosh 2014 Fourth International Conference of Emerging Applications of Information …, 2014 | 6 | 2014 |
Removal of random valued impulsive noise A Datta | 6 | 2009 |
Adaptive edge discriminated median filter to remove impulse noise A Kumar, A Datta 2016 International Conference on Computing, Communication and Automation …, 2016 | 5 | 2016 |
Band elimination of hyperspectral imagery using correlation of partitioned band images A Datta, S Ghosh, A Ghosh 2013 International Conference on Advances in Computing, Communications and …, 2013 | 4 | 2013 |
Hyperspectral remote sensing images and supervised feature extraction A Datta, S Ghosh, A Ghosh Cloud Computing for Geospatial Big Data Analytics: Intelligent Edge, Fog and …, 2019 | 3 | 2019 |
Identification of Brain Cancer using Medical Hyperspectral Image Analysis A Datta, RB Singh Computational Intelligence for Oncology and Neurological Disorders: Current …, 2024 | 1 | 2024 |
Biogeography Based Band Selection for Hyperspectral Image Classification A Datta, G Niranjan Eight International Conference on Computer Vision and Image Processing (CVIP …, 2023 | 1 | 2023 |
Segmentation of Smoke Plumes Using Fast Local Laplacian Filtering VA Koranne, EJ Ientilucci, A Dey, A Datta, S Ghosh International Conference on Computer Vision and Image Processing, 136-148, 2022 | 1 | 2022 |
Leveraging Biogeography-based Optimization for Band Selection in Hyperspectral Brain Imaging: a CNN-based Classification Framework RB Singh, A Datta Ninth International Conference on Computer Vision & Image Processing (CVIP 2024), 2024 | | 2024 |