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ORCIDRama Rao Nidamanuri
Person information
- affiliation: Indian Institute of Space Science and Technology (IIST), Department of Earth and Space Sciences, Thiruvananthapuram, Kerala, India
- affiliation (PhD 2006): Indian Institute of Technology, Roorkee, India
Other persons with the same name
- N. Rama Rao 0002 — Jawaharlal Nehru Technological University Hyderabad (JNTU Hyderabad), Telangana, India
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2020 – today
- 2023
[j16]Dubacharla Gyaneshwar
, Rama Rao Nidamanuri:
Shadow invariant classification for high-resolution images. Digit. Signal Process. 136: 104007 (2023)- [j15]Ujjwal Singh, Petr Máca, Martin Hanel, Yannis Markonis, Rama Rao Nidamanuri, Sadaf Nasreen, Johanna Ruth Blöcher, Filip Strnad, Jiri Vorel, Lubomir Riha, Akhilesh Singh Raghubanshi:
Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years. Inf. Fusion 97: 101807 (2023) - [c18]Manoj Kaushik, Anagha S. Sarma, Rama Rao Nidamanuri:
CloudSegnet: A Deep Learning Based Segmentation Method For Cloud Detection In Multispectral Satellite Imagery. IGARSS 2023: 3827-3829 - [c17]P. Punya, Rama Rao Nidamanuri:
Assessment of the Long-Term Dynamics of Algal Blooms and Their Linkages with Oceanographic Parameters Using Time-Series Remote Sensing Data. IGARSS 2023: 4016-4018 - [c16]C. V. S. S. Manohar Kumar, M. S. Salini, Rama Rao Nidamanuri:
Abundance of Plastic-Litter in Hyperspectral Imagery Using Spectral Unmixing in Coastal Environment. IGARSS 2023: 6029-6032 - [c15]Anagha S. Sarma, Rama Rao Nidamanuri:
Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping. IGARSS 2023: 7384-7387 - [c14]Sivaganesh Baskaran, Chaitra Gadari, C. V. S. S. Manohar Kumar, Manoj Kaushik, R. G. Sharathchandra Ramasandra Govind, Rama Rao Nidamanuri:
Hyperspectral Detection of Fusarium Wilt in Tomato Plants Using Machine Learning-Based Approaches. IGARSS 2023: 7583-7585 - [c13]Indu K. C, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri:
Automatic Object Based Plant-level Crop Segmentation in Drone-based Hyperspectral Imagery. WHISPERS 2023: 1-3 - [c12]C. V. S. S. Manohar Kumar, Rama Rao Nidamanuri, Vinay Kumar Dadhwal:
Sub-pixel Discrimination of Soil and Crop in Drone-based Hyperspectral Imagery. WHISPERS 2023: 1-4 - [c11]Nijitha P, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri:
Solid Waste Detection and Waste-material Characterization in Urban Environment at Subpixel Level in Airborne Hyperspectral Imagery. WHISPERS 2023: 1-3 - [c10]Aarsha B. R, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri:
Invasive Plant Species Detection in Airborne Hyperspectral Imagery over Complex Forest Landscape. WHISPERS 2023: 1-3 - [c9]Anagha S. Sarma, Rama Rao Nidamanuri:
Active Learning-Enhanced Plant-Level Crop Mapping with Drone Hyperspectral Imaging and Evolutionary Computing. WHISPERS 2023: 1-5 - 2022
- [j14]Dubacharla Gyaneshwar, Rama Rao Nidamanuri:
A real-time SC2S-based open-set recognition in remote sensing imagery. J. Real Time Image Process. 19(5): 867-880 (2022) - [j13]Deepak S. Bisht, T. Narayana Rao, N. Rama Rao, G. S. V. Chandrakanth, Akshit Sharma:
Prediction of Integrated Water Vapor Using a Machine Learning Technique. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j12]Sudhanshu Shekhar Jha, Chaitanya Joshi, Rama Rao Nidamanuri:
Target Detection in Hyperspectral Imagery Using Atmospheric-Spectral Modeling and Deep Learning. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [c8]Abhinav Galodha, Rahul Vashisht, Rama Rao Nidamanuri, Anandakumar M. Ramiya:
Convolutional Neural Network (CNN) for Crop - Classification of Drone Acquired Hyperspectral Imagery. IGARSS 2022: 7741-7744 - 2021
- [j11]Jayakumari Reji, Rama Rao Nidamanuri, Anandakumar M. Ramiya, Thomas Astor, Michael Wachendorf, Andreas Buerkert:
Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning. Comput. Electron. Agric. 184: 106051 (2021) - [j10]Dubacharla Gyaneshwar, Rama Rao Nidamanuri:
A Novel Supervised Cascaded Classifier System (SC²S) for Robust Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 18(3): 421-425 (2021) - 2020
- [j9]Sudhanshu Shekhar Jha, Rama Rao Nidamanuri:
Gudalur Spectral Target Detection (GST-D): ANew Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data. Remote. Sens. 12(13): 2145 (2020)
2010 – 2019
- 2019
- [j8]Indu Indirabai, M. V. Harindranathan Nair, R. Nair Jaishanker, Rama Rao Nidamanuri:
Terrestrial laser scanner based 3D reconstruction of trees and retrieval of leaf area index in a forest environment. Ecol. Informatics 53 (2019) - [j7]Supriya Dayananda, Thomas Astor, Jayan Wijesingha, Subbarayappa Chickadibburahalli Thimappa, Hanumanthappa Dimba Chowdappa, Mudalagiriyappa, Rama Rao Nidamanuri, Sunil Nautiyal, Michael Wachendorf:
Multi-Temporal Monsoon Crop Biomass Estimation Using Hyperspectral Imaging. Remote. Sens. 11(15): 1771 (2019) - [c7]Kumari Pooja, Rama Rao Nidamanuri, Deepak Mishra:
Multi-Scale Dilated Residual Convolutional Neural Network for Hyperspectral Image Classification. WHISPERS 2019: 1-5 - 2018
- [j6]Thomas Möckel, Supriya Dayananda, Rama Rao Nidamanuri, Sunil Nautiyal, Nagaraju Hanumaiah, Andreas Buerkert, Michael Wachendorf:
Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images. Remote. Sens. 10(5): 805 (2018) - [j5]Rajeswari Balasubramaniam, Srivalsan Namboodiri, Rama Rao Nidamanuri, Rama Krishna Sai Subrahmanyam Gorthi:
Active Learning-Based Optimized Training Library Generation for Object-Oriented Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 575-585 (2018) - [c6]N. N. Salghuna, Rama Chandra Prasad, N. Rama Rao:
Discrimination of Tree Species Based on Their Spectra Collected at Spatio-Temporal Scale In The Forest of Araku, Eastern Ghats, India. WHISPERS 2018: 1-5 - 2017
- [j4]Dhanya S. Pankaj, Rama Rao Nidamanuri:
Robust algorithm for multiview registration. IET Comput. Vis. 11(1): 96-103 (2017) - [c5]Pilli Madalasa, Gorthi R. K. Sai Subrahmanyam, Tapas Ranjan Martha, Rama Rao Nidamanuri, Deepak Mishra:
Bayesian Approach for Landslide Identification from High-Resolution Satellite Images. CVIP (2) 2017: 13-24 - [c4]Rajeswari Balasubramaniam, Gorthi R. K. Sai Subrahmanyam, Rama Rao Nidamanuri:
Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images. CVIP (1) 2017: 63-78 - 2015
- [j3]Bharath Bhushan Damodaran, Rama Rao Nidamanuri, Yuliya Tarabalka:
Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2405-2417 (2015) - 2014
- [j2]Bharath Bhushan Damodaran, Rama Rao Nidamanuri:
Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2080-2093 (2014) - [c3]Dhanya S. Pankaj, Rama Rao Nidamanuri, Bhanu Prasad Pinnamaneni:
ProLoSAC: An Improved RANSAC Algorithm for Pairwise Registration of 3D Point Clouds. ICVGIP 2014: 30:1-30:8 - [c2]Rama Rao Nidamanuri:
Spectral discrimination of tea plant varieties by statistical, machine learning and spectral similarity methods. WHISPERS 2014: 1-4 - 2013
- [c1]D. Bharath Bhushan, Rama Rao Nidamanuri:
Dynamic classifier system for hyperspectral image classification. IGARSS 2013: 1039-1042 - 2011
- [j1]Rama Rao Nidamanuri, Bernd Zbell:
Normalized Spectral Similarity Score NS3 as an Efficient Spectral Library Searching Method for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(1): 226-240 (2011)
Coauthor Index
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
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