| Segmentation based building detection approach from LiDAR point cloud AM Ramiya, RR Nidamanuri, R Krishnan The Egyptian Journal of Remote Sensing and Space Science 20 (1), 71-77, 2017 | 66 | 2017 |
| Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks R Jayakumari, RR Nidamanuri, AM Ramiya Precision Agriculture 22 (5), 1617-1633, 2021 | 44 | 2021 |
| A supervoxel-based spectro-spatial approach for 3D urban point cloud labelling AM Ramiya, RR Nidamanuri, K Ramakrishnan International Journal of Remote Sensing 37 (17), 4172-4200, 2016 | 41 | 2016 |
| 3D CityGML building modelling from lidar point cloud data P Jayaraj, AM Ramiya The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 39 | 2018 |
| Object-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection AM Ramiya, RR Nidamanuri, R Krishnan Geocarto international 31 (2), 121-139, 2016 | 32 | 2016 |
| Individual tree detection from airborne laser scanning data based on supervoxels and local convexity AM Ramiya, RR Nidamanuri, R Krishnan Remote Sensing Applications: Society and Environment 15, 100242, 2019 | 26 | 2019 |
| Semantic labelling of urban point cloud data AM Ramiya, RR Nidamanuri, R Krishnan The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2014 | 22 | 2014 |
| Spectral identification of materials by reflectance spectral library search RR Nidamanuri, AM Ramiya Geocarto International 29 (6), 609-624, 2014 | 21 | 2014 |
| Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning J Reji, RR Nidamanuri, AM Ramiya, T Astor, M Wachendorf, A Buerkert Computers and Electronics in Agriculture 184, 106051, 2021 | 17 | 2021 |
| High-resolution multispectral imagery and LiDAR point cloud fusion for the discrimination and biophysical characterisation of vegetable crops at different levels of nitrogen RR Nidamanuri, R Jayakumari, AM Ramiya, T Astor, M Wachendorf, ... Biosystems Engineering 222, 177-195, 2022 | 7 | 2022 |
| Building information modelling of a multi storey building using terrestrial laser scanner and visualisation using potree: An open source point cloud renderer A Yeshwanth Kumar, MA Noufia, KA Shahira, AM Ramiya The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2019 | 7 | 2019 |
| Assessment of various parameters on 3D semantic object-based point cloud labelling on urban LiDAR dataset AM Ramiya, RR Nidamanuri, R Krishnan Geocarto International 34 (8), 817-838, 2019 | 6 | 2019 |
| Web-based visualization and rendering of aerial LiDAR point cloud for urban flood simulation S Sanjay, R Anandakumar M International Journal of Disaster Resilience in the Built Environment, 2023 | 5* | 2023 |
| Deep convolution neural networks with resnet architecture for spectral-spatial classification of drone borne and ground based high resolution hyperspectral imagery A Galodha, R Vashisht, RR Nidamanuri, AM Ramiya The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 5 | 2022 |
| Classification of Horticultural Crops in High Resolution Multispectral Imagery Using Deep Learning Approaches A Palaparthi, AM Ramiya, H Ram, D Mishra 2023 International Conference on Machine Intelligence for GeoAnalytics and …, 2023 | 4 | 2023 |
| Urban flood modelling simulation with 3D building models from airborne LiDAR point cloud HS Behera, AM Ramiya 2022 IEEE Mediterranean and Middle-East Geoscience and Remote Sensing …, 2022 | 4 | 2022 |
| Automated building detection using lidar data and digital aerial images AM Ramiya, RR Nidamanuri, R Krishnan Proceedings of the 2014 International Conference on Image Processing …, 2014 | 3 | 2014 |
| Evaluation of segment anything model (SAM) for automated labelling in machine learning classification of UAV geospatial data B Parulekar, N Singh, AM Ramiya Earth Science Informatics 17 (5), 4407-4418, 2024 | 2 | 2024 |
| River habitat mapping using Airborne Imaging Spectrometry (CASI-3) R Anandakumar, EJ Milton, DA Sear Remote Sensing and Photogrammetry Society, 2008 | 2 | 2008 |
| Semantic segmentation of urban airborne LiDAR data of varying landcover diversity using XGBoost J Vijaywargiya, AM Ramiya IET Computer Vision 19 (1), e12334, 2025 | 1 | 2025 |
Rama Rao NidamanuriIndian Institute of Space Science and TechnologyVerified email at iist.ac.in
