| Survey on Land Use/Land Cover (LU/LC) change analysis in remote sensing and GIS environment: Techniques and Challenges SN MohanRajan, A Loganathan, P Manoharan Environment Science Pollution Research, 2020 | 187 | 2020 |
| Hyperspectral image classification using CNN with spectral and spatial features integration R Vaddi, P Manoharan Infrared Physics & Technology 107, 103296, 2020 | 133 | 2020 |
| An intelligent lung cancer diagnosis system using cuckoo search optimization and support vector machine classifier M Prabukumar, L Agilandeeswari, K Ganesan Journal of ambient intelligence and humanized computing 10, 267-293, 2019 | 108 | 2019 |
| A review on graph-based semi-supervised learning methods for hyperspectral image classification SS Sawant, M Prabukumar The Egyptian Journal of Remote Sensing and Space Science 23 (2), 243-248, 2020 | 101 | 2020 |
| Crop classification for agricultural applications in hyperspectral remote sensing images L Agilandeeswari, M Prabukumar, V Radhesyam, KLNB Phaneendra, ... Applied Sciences 12 (3), 1670, 2022 | 82 | 2022 |
| Unsupervised band selection based on weighted information entropy and 3D discrete cosine transform for hyperspectral image classification SS Sawant, P Manoharan International Journal of Remote Sensing 41 (10), 3948-3969, 2020 | 71 | 2020 |
| CNN based hyperspectral image classification using unsupervised band selection and structure-preserving spatial features R Vaddi, P Manoharan Infrared Physics & Technology 110, 103457, 2020 | 49 | 2020 |
| Hyperspectral band selection based on metaheuristic optimization approach S Sawant, P Manoharan Infrared Physics & Technology 107, 103295, 2020 | 47 | 2020 |
| A new framework for hyperspectral image classification using Gabor embedded patch based convolution neural network, Volume 110, 2020, , ISSN 1350-4495, ht BLNP Kumar, PrabukumarManoharan Infrared Physics & Technology 110, 103455, 2020 | 44* | 2020 |
| A survey of band selection techniques for hyperspectral image classification S Sawant, M Prabukumar Journal of Spectral Imaging 9 (1), 2020 | 39 | 2020 |
| Comparative study of feature extraction techniques for hyper spectral remote sensing image classification: a survey R Vaddi, M Prabukumar 2017 International Conference on Intelligent Computing and Control Systems …, 2017 | 38 | 2017 |
| New framework for hyperspectral band selection using modified wind-driven optimization algorithm SS Sawant, P Manoharan International Journal of Remote Sensing 40 (20), 7852-7873, 2019 | 37 | 2019 |
| Three-dimensional discrete cosine transform-based feature extraction for hyperspectral image classification M Prabukumar, S Sawant, S Samiappan, L Agilandeeswari Journal of Applied Remote Sensing 12 (4), 2018 | 37 | 2018 |
| Band clustering using expectation–maximization algorithm and weighted average fusion-based feature extraction for hyperspectral image classification M Prabukumar, S Shrutika Journal of Applied remote sensing 12 (4), 046015-046015, 2018 | 35 | 2018 |
| Band selection strategies for hyperspectral image classification based on machine learning and artificial intelligent techniques–Survey SS Sawant, P Manoharan, A Loganathan Arabian Journal of Geosciences 14, 1-10, 2021 | 34 | 2021 |
| Whale optimization-based band selection technique for hyperspectral image classification BLN Phaneendra Kumar, P Manoharan International Journal of Remote Sensing 42 (13), 5105-5143, 2021 | 33 | 2021 |
| Survey on classification methods for hyper spectral remote sensing imagery LNP Boggavarapu, M Prabukumar 2017 International Conference on Intelligent Computing and Control Systems …, 2017 | 32 | 2017 |
| Hyperspectral image classification using fuzzy-embedded hyperbolic sigmoid nonlinear principal component and weighted least squares approach BLN Phaneendra Kumar, M Prabukumar Journal of Applied Remote Sensing 14 (2), 024501-024501, 2020 | 31 | 2020 |
| Semi-supervised techniques based hyper-spectral image classification: a survey SS Sawant, M Prabukumar 2017 Innovations in Power and Advanced Computing Technologies (i-PACT), 1-8, 2017 | 31 | 2017 |
| A hybrid optimization approach for hyperspectral band selection based on wind driven optimization and modified cuckoo search optimization S Sawant, P Manoharan Multimedia Tools and Applications 80 (2), 1725-1748, 2021 | 30 | 2021 |
Dr. Agilandeeswari LProfessor, VIT, VelloreVerified email at vit.ac.in