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 | 128 | 2020 |
Hyperspectral image classification using CNN with spectral and spatial features integration R Vaddi, P Manoharan Infrared Physics & Technology 107, 103296, 2020 | 98 | 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 | 93 | 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 | 91 | 2020 |
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 | 61 | 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 | 46 | 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 | 42 | 2022 |
Hyperspectral band selection based on metaheuristic optimization approach S Sawant, P Manoharan Infrared Physics & Technology 107, 103295, 2020 | 41 | 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 | 37* | 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 | 36 | 2017 |
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 | 35 | 2018 |
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 | 34 | 2019 |
A survey of band selection techniques for hyperspectral image classification S Sawant, M Prabukumar Journal of Spectral Imaging 9 (1), 2020 | 32 | 2020 |
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 | 32 | 2018 |
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 | 30 | 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 | 29 | 2020 |
Survey on classification methods for hyper spectral remote sensing imagery LNP Boggavarapu, M Prabukumar 2017 International Conference on Intelligent Computing and Control Systems …, 2017 | 27 | 2017 |
A band selection method for hyperspectral image classification based on cuckoo search algorithm with correlation based initialization SS Sawant, M Prabukumar, S Samiappan 2019 10th workshop on hyperspectral imaging and signal processing: evolution …, 2019 | 26 | 2019 |
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 | 25 | 2021 |
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 | 25 | 2021 |