Publications

Manuscripts under Review

• Jayati Vijaywargiya & Anandakumar M. Ramiya Point Position-based Optimization Technique for Point Cloud Classification in Complex Urban Environment 

Peer-Reviewed Publications

2025

J17. Jayakumar TV, Mishra, Deepak, Anandakumar M Ramiya,Singla  Jai G Gradient-Aware Directional Convolution with Kolmogorov Arnold Network-Enhanced Feature Fusion for Road Extraction , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  (accepted)

CF 21. Bhargav Ashok Parulekar , Anandakumar Ramiya Comparison of Visual Foundation Models (VFMs) for fine- grained segmentation of Cocos Nucifera Trees in very high resolution geospatial datasets.  2025 IEEE International Geoscience and Remote Sensing Symposium Publisher IEEE

CF 20. Jayakumar TV,  Amrutha Aneesh, Deepak Mishra, Ramiya Anandakumar M , Jai Singla G DEPTHLITENET: A feature selective and lightweight architecture for road extraction from satellite imagery 2025 IEEE International Geoscience and Remote Sensing Symposium Publisher IEEE

CF 19. Rushikesh Katkar, Anandakumar Ramiya Vegetative Shadow Dynamics and Solar Potential Assessment: A Case Study of Thiruvananthapuram, India  2025 IEEE International Geoscience and Remote Sensing Symposium Publisher IEEE

J 16. Kaustubh M Mujumdar , Rashmi Singh , Anandakumar M Ramiya , Satyam S. Sahay Leveraging Satellite Imagery for Comprehensive Agro-Economic Health Assessment in Indian Villages: A Case Study of Karnataka's Diverse Agro-Climatic Zones.Remote Sensing Applications: Society and Environment

J 15. Jayati Vijaywargiya & Anandakumar M. Ramiya Thiruvananthapuram Airborne LiDAR dataset : A Benchmark for Complex Urban Point Cloud,  IEEE Access

2024

J 13. Jayati Vijaywargiya & Anandakumar M. Ramiya Semantic Segmentation of Urban Airborne LiDAR Data of varying landcover diversity using XGBoost IET Computer Vision

J 14. Sukhwinder Singh & Anandakumar M. Ramiya  Assessing Avalanche Susceptibility in the Leh-Parthapur Road Axis, Jammu & Kashmir, India with Avalanche Site Susceptibility Index (ASSI) International Journal of Disaster Resilience in the Built Environment. 

CF 18. Bhargav Parulekar, Nischal Singh & Anandakumar M. Ramiya Evaluation of segment anything model (SAM) for automated labelling in machine learning classification of UAV geospatial data , Earth Science Informatics, Springer Nature https://doi.org/10.1007/s12145-024-01402-7 

CF 17. J Vijaywargiya, Anandakumar M. Ramiya 3D Spatio-Semantic Micro-Morphology for Empirical Decision-Making IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium Publisher IEEE

CF 16. Siddharth Singh Chauhan, TV Jayakumar, Deepak Mishra, Anandakumar M Ramiya Localization in MR-based Indoor Navigation System using point cloud registration The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

               CF 15. Jayakumar TV, Mishra, Deepak, Anandakumar M Ramiya, Parulekar Bhargav, Singla  Jai G, Evaluation of UNet architecture variants for road network extraction from high resolution geospatial dataset InGARSS 2024

CF 14. Rushikesh Katkar, Jayati Vijaywargiya,  Anankumar M Ramiya (2024). ASSESSING CHANGING LANDSLIDE RISKS IN WAYANAD , KERALA THROUGH TEMPORAL SUSCEPTIBILITY MAPPING. InGARSS 2024

2023

J 12. Sanjay Saifi and Anandakumar M Ramiya Web-based Visualisation of Aerial LiDAR Data for Urban Flood Scenario (2023) International Journal of Disaster Resilience in the Built Environment.   10.1108/IJDRBE-07-2023-0079 

CF 14. Pyare Lal Chauhan,  Jayati Vijaywargiya and Anandakumar M Ramiya (2023) Addressing class imbalance challenge in Semantic Segmentation of ALS data through performance analysis of RandLA-NET and PointNET ++ InGARSS 2023, IEEE India Geoscience and Remote Sensing Symposium . 

CF 13. Jayati Vijaywargiya & Anandakumar M. Ramiya (2023): Metamorphism of ALS point cloud for multitude applications” in the session 3D sensing for smart cities : ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences:  International Society for Photogrammetry and Remote Sensing (ISPRS)  Geospatial Week 2023 in Cairo, Egypt.  

C9. Bhargav Parulekar, Nischal Singh, Anandakumar M. Ramiya (2023). Assessing the performance of Segment Anything Model (SAM) based labels for training machine learning models in UAV data classification. ISRS-ISG National Symposium, Symbiosis Pune November 28-20.

C8. Vijayan, L., Anandakumar M. Ramiya, Jainet, P. J., & Sudheer, K. P. (2023). Assessment of LiDAR-derived DEM for flood inundation mapping in Karamana basin , Thiruvananthapuram. ISRS-ISG National Symposium, Symbiosis Pune November 28-20.

J 11. Jayati Vijaywargiya & Anandakumar M. Ramiya (2023): Information extraction system for urban planning and governance using LiDAR based 3D repository,Journal of Spatial Science, DOI: 10.1080/14498596.2023.2200313 

CF 12. A. Palaparthi, Anandakumar M. Ramiya, H. Ram and D. D. Mishra, "Classification of Horticultural Crops in High Resolution Multispectral Imagery Using Deep Learning Approaches," 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), Hyderabad, India, 2023, pp. 1-4, doi: 10.1109/MIGARS57353.2023.10064521.

CF 11. M. Kaushik, R. R. Nidamanuri, Aparna. B and Anandakumar M. Ramiya, (2023).  Spectral discrimination of vegetable crops using in situ hyperspectral data and reference to organic vegetables, 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), Hyderabad, India, 2023, pp. 1-4, doi: 10.1109/MIGARS57353.2023.10064553.

2022

J 10. Nidamanuri, R.R., Reji, J, Anandakumar M Ramiya, Astor, T., Wachendorf, M. and Buerkert, A. (2022) High-resolution multispectral imagery and LiDAR point cloud fusion for the discrimination and biophysical characterization of vegetable crops at different levels of nitrogen, Biosystems Engineering

CF 10.Behera H S. and Anandakumar M Ramiya (2022) Urban Flood Modelling simulation with 3D building models from Airborne LiDAR Point cloud . IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium. 7-9 March 2022.

CF 9. Galodha, A Vashisht, R Nidamanuri, R; Anandakumar M Ramiya .  Deep convolution neural networks with resnet architecture for spectral-spatial classification of drone borne and ground based high resolution hyperspectral image The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences; Gottingen Vol. XLIII-B2-2022, Gottingen: Copernicus GmbH. (2022): 577-584.

CF8. A Galodha, R Vashisht, RR Nidamanuri, Anandakumar M Ramiya Convolutional Neural Network (CNN) for Crop-Classification of Drone Acquired Hyperspectral Imagery IGARSS 2022-2022 IEEE International Geoscience 2022

2021

J 9. Reji, J, Nidamanuri, R.R., Anandakumar M Ramiya(2021). Object-level classification of vegetable crops in 3D LiDAR point cloud using deep learning convolutional neural networks, Precision Agriculture

J 8. Reji, J, Nidamanuri, R.R., Anandakumar M Ramiya, Astor, T., Wachendorf, M. and Buerkert, A. (2021). Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning, Computers and Electronics in Agriculture 

2019

J 7. Anandakumar M Ramiya, Rama Rao Nidamanuri, Ramakrishnan Krishnan (2019) "Individual tree detection from airborne laser scanning data based on supervoxels and local convexity". Remote Sensing Applications: Society and Environment. Publisher: Elsevier

CF 7. Yeshwanth Adimoolam,MA Noufia, KA Shahira,Anandakumar M Ramiya  (2019) Building Information Modelling of a Multi Storey Building Using Terrestrial Laser Scanner and Visualisation Using Potree: An Open Source Point Cloud Renderer ,The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences , Volume 42, Page 421-426, Copernicus GMBH

CF 6. A Kaitheri, Anandakumar M Ramiya  DEM generation using point cloud from ICESat and high-resolution satellite stereo images for Indian region - Image and Signal Processing for Remote Sensing XXV, 2019.

2018

J 6. Anandakumar M Ramiya, Rama Rao Nidamanuri, Ramakrishnan Krishnan (2018) "Assessment of various parameters on 3D semantic object-based point cloud labelling on urban LiDAR dataset.". Geocarto International . Publisher: Taylor and Francis

CF 5. Jayaraj, P. and Anandakumar M Ramiya (2018) 3D CityGML building modelling from LiDAR point cloud data, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-5, 175-180, https://doi.org/10.5194/isprs-archives-XLII-5-175-2018. 

CF4. Preethi PM, Anandakumar M Ramiya and Vinay K Dadhwal (2018).3D modelling of IIST campus using terrestrial laser scanning data, 38th INCA International Congress on Emerging Technologies in Cartography, Hyderabad, 29-31 October 2018..

C7. Nidamanuri R.R., Ramiya A.M. and Dadhwal V.K. (2018). 3D laser scanning for estimation of large scale buildings’ rooftops based solar energy in urban environments, International Conference on Sustainable Energy and Environmental Challenges (SEEC-2018),  31 Dec 2017 -  3 Jan.2018, IISc, Bangalore.

2016

J5. Anandakumar M Ramiya, Rama Rao Nidamanuri, Ramakrishnan Krishnan (2016)  “A supervoxel-based spectro-spatial approach for 3D urban point cloud labelling", International Journal of Remote Sensing,” 37:17, 4172-4200, DOI:10.1080/01431161.2016.1211348. Publisher: Taylor and Francis

J4. Anandakumar M Ramiya, Rama Rao Nidamanuri, Ramakrishnan Krishnan (2016) “Segmentation based building detection approach from LiDAR point cloud” The Egyptian Journal of Remote Sensing and Space Science. Publisher: Elsevier.

J3.Arun R Nath and A M Ramiya (2016) “3D Reconstruction of Buildings from classified LiDAR point cloud”. International Journal of Earth Sciences and Engineering. Volume 09(1) pages 162-166.

C6.Anandakumar M Ramiya, Rama Rao Nidamanuri, Ramakrishnan Krishnan (2016) "A Supervoxels-Based Approach for Urban Tree Mapping using Airborne LiDAR Data" Proceedings of ISRS - ISG National Symposium on Recent Advances in Remote Sensing and GIS with Special Emphasis on Mountain Ecosystems. December 7 - 9, 2016 Dehradun (India).

C5. Bibin Wilson, Ramiya, A.M., Rama Rao Nidamanuri (2016) " Hyperspectral and LiDAR data fusion for species classification (3D) " Proceedings of GeoSmart India 2016. 1-3 March 2016 New Delhi. Awarded the best student paper award.

2015

J2. Anandakumar M Ramiya, Rama Rao Nidamanuri, Ramakrishnan Krishnan (2015) “Object-oriented semantic labelling of spectral–spatial LiDAR point cloud for urban land cover classification and buildings detection” Geocarto International .DOI : 10.1080/10106049.2015.1034195. Publisher: Taylor and Francis

2014

CF3. Ramiya, A. M., Nidamanuri, R. R., and Krishnan, R.: “Semantic labelling of urban point cloud data”, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 907-911, doi:10.5194/isprsarchives-XL-8-907-2014, 2014

J1.Nidamanuri, R.R. and Ramiya, A.M. (2014): “Spectral identification of materials by reflectance spectral library search”, Geocarto International 29(6) 609-624 DOI:10.1080/10106049.2013.821175 Publisher: Taylor and Francis

2012

C4. Ramiya A.M. (2012). Effect of Atmosphere on Object based Image Analysis (OBIA), presented in National Symposium on ‘Space Technology for Food & Environmental Security’ &Annual Convention of Indian Society of Remote Sensing, Dec. 5 -7, 2012, New Delhi.

2011

C3. Nidamanuri R.R., and Ramiya, A.M. (2011). Estimation of tropical forest biophysical parameters using near UV and NIR reflectance from GOSAT TANSO – CAI sensor, presented in “International Conference on “Adaptive Management of Ecosystems: The Knowledge Systems of Societies for Adaptation and Mitigation of Impacts of Climate Change” 19-21, October 2011, Bangalore.

2008

CF2. Ramiya A.M., Milton E. J., Sear D.A., “River Habitat mapping using Airborne Imaging Spectrometry”, RSPSoc Annual Conference, University of Exeter, Falmouth, Campus. 2008.

2007

CF1. D. Anu A.P. Pounlakshumi A.M. Ramiya R. Sathya V.S. Jeyakanthan and S. Sanjeevi.,” Sub Pixel classification of images for reservoir area estimation”,chapter on the book, ‘Hydrology and Watershed Management : II (2 Vols-Set)’ ,2007, edited by B Venkateshwara Rao; G Jagmohan Das; C Sarala and M V S S Giridhar.

2006

C2. Ramiya A.M., Pounlakshumi A.P., Sathya R., “Optimal Route Analysis for Solid Waste Disposal Using GIS”, Map India 2006, International Conference on Remote Sensing, GIS and photogrammetry, New Delhi, India, 2006.

2004

C1. Ramiya A.M., Senthil S., “Wasteland Development using Remote Sensing and GIS”, National Seminar on Wasteland Development organized by Tamil Nadu Agricultural College and Research Institute, TNAU, Vallanad, Killikulam, India, 2004.

• J: Journal Publication    

• CF : Conference Full Paper (Double Peer Reviewed)

• C: Conference Paper