| Hyperspectral image, video compression using sparse tucker tensor decomposition S Das IET Image Processing 15 (4), 964-973, 2021 | 26 | 2021 |
| Covariance similarity approach for semiblind unmixing of hyperspectral image S Das, A Routray IEEE Geoscience and Remote Sensing Letters 16 (6), 937-941, 2019 | 21 | 2019 |
| Sparsity measure based library aided unmixing of hyperspectral image S Das, A Routray, AK Deb IET Image Processing 13 (12), 2077-2085, 2019 | 20 | 2019 |
| Fast semi-supervised unmixing of hyperspectral image by mutual coherence reduction and recursive PCA S Das, A Routray, AK Deb Remote Sensing 10 (7), 1106, 2018 | 20 | 2018 |
| Fast linear unmixing of hyperspectral image by slow feature analysis and simplex volume ratio approach S Das, S Chakraborty, A Routray, AK Deb IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019 | 14 | 2019 |
| Noise robust estimation of number of endmembers in a hyperspectral image by eigenvalue based gap index S Das, A Routray, AK Deb 2016 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in …, 2016 | 14 | 2016 |
| Efficient tensor decomposition approach for estimation of the number of endmembers in a hyperspectral image S Das, A Routray, AK Deb Journal of Applied Remote Sensing 14 (1), 016519-016519, 2020 | 10 | 2020 |
| Band selection of hyperspectral image by sparse manifold clustering S Das, S Bhattacharya, A Routray, A Kani Deb IET Image Processing 13 (10), 1625-1635, 2019 | 10 | 2019 |
| Hyperspectral unmixing by nuclear norm difference maximization based dictionary pruning S Das, A Routray, AK Deb 2017 14th IEEE India Council International Conference (INDICON), 1-5, 2017 | 10 | 2017 |
| Graph manifold clustering based band selection for hyperspectral face recognition S Bhattacharya, S Das, A Routray 2018 26th European Signal Processing Conference (EUSIPCO), 1990-1994, 2018 | 9 | 2018 |
| Estimation of number of endmembers in a hyperspectral image using Eigen thresholding S Das, JN Kundu, A Routray India Conference (INDICON), 2015 Annual IEEE, 2015 | 9 | 2015 |
| Feature extraction approach for quality assessment of remotely sensed hyperspectral images S Das, S Bhattacharya, PK Khatri Journal of Applied Remote Sensing 14 (2), 026514-026514, 2020 | 8 | 2020 |
| Convex set based abundance constrained unmixing of hyperspectral image S Das, A Routray, AK Deb 2017 14th IEEE India Council International Conference (INDICON), 1-5, 2017 | 8 | 2017 |
| Sparsity regularized deep subspace clustering for multicriterion-based hyperspectral band selection S Das, S Pratiher, C Kyal, P Ghamisi IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 6 | 2022 |
| Efficient multichannel EEG compression by optimal tensor truncation S Das, C Kyal Biomedical Signal Processing and Control 68, 102749, 2021 | 6 | 2021 |
| Efficient multi-way sparsity estimation for hyperspectral image processing S Das, S Bhattacharya, S Pratiher Journal of Applied Remote Sensing 15 (2), 026504-026504, 2021 | 4 | 2021 |
| Library-aided bilinear unmixing of hyperspectral image using subspace clustering and multistep pruning S Das, S Chakraborty, A Routray, AK Deb Journal of Applied Remote Sensing 13 (4), 046506-046506, 2019 | 4 | 2019 |
| Employee attrition prediction for imbalanced data using genetic algorithm-based parameter optimization of XGB Classifier K Konar, S Das, S Das 2023 International Conference on Computer, Electrical & Communication …, 2023 | 2 | 2023 |
| Combining pixel selection with covariance similarity approach in hyperspectral face recognition S Bhattacharya, S Das, S Chakraborty, A Routray IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018 | 2 | 2018 |
| Unmixing aware compression of hyperspectral image by rank aware orthogonal parallel factorization decomposition S Das, S Ghosal Journal of Applied Remote Sensing 17 (4), 046509-046509, 2023 | 1 | 2023 |
Aurobinda RoutrayProfessor, Department of Electrical Engineering, IIT KharagpurVerified email at ee.iitkgp.ernet.in
