Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions MA Moharram, DM Sundaram Neurocomputing 536, 90-113, 2023 | 82 | 2023 |
Dimensionality reduction strategies for land use land cover classification based on airborne hyperspectral imagery: a survey MA Moharram, DM Sundaram Environmental Science and Pollution Research 30 (3), 5580-5602, 2023 | 34 | 2023 |
Spatial–spectral hyperspectral images classification based on Krill Herd band selection and edge-preserving transform domain recursive filter MA Moharram, DM Sundaram Journal of Applied Remote Sensing 16 (4), 044508-044508, 2022 | 10 | 2022 |
Mayfly algorithm-based semi-supervised band selection with enhanced bitonic filter for spectral-spatial hyperspectral image classification MA Moharram, DM Sundaram International Journal of Remote Sensing 45 (6), 2073-2108, 2024 | 3 | 2024 |
Enhancing exploration-exploitation in harmony search for airborne hyperspectral imaging band selection (E3HS) MA Moharram, DM SUNDARAM Turkish Journal of Electrical Engineering and Computer Sciences 31 (6), 969-991, 2023 | 3 | 2023 |
Adaptive feature selection for hyperspectral image classification based on Improved Unsupervised Mayfly optimization Algorithm MA Moharram, DM Sundaram Earth Science Informatics 17 (5), 4145-4159, 2024 | 1 | 2024 |
Software effort estimation using cascade neural network optimised based on modified particle swarm optimisation (MPSO-CNN) MA Moharram, S Bilgaiyan, S Sagnika International Journal of Productivity and Quality Management 44 (1), 40-70, 2025 | | 2025 |
MultiGO: An unsupervised approach based on multi-objective growth optimizer for hyperspectral image band selection MA Moharram, DM Sundaram Remote Sensing Applications: Society and Environment 37, 101424, 2025 | | 2025 |