Rama Rao Nidamanuri

37 papers C 7Journal 20Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
Deep Learning-Based Multisensor Approach for Precision Agricultural Crop Classification Based on Nitrogen Levels.
IEEE Geosci. Remote. Sens. Lett.
Jayakumari Reji, Rama Rao Nidamanuri
2025 J jnl
Disaggregating IMERG satellite precipitation over Czech Republic: an innovative approach using hybrid Extreme Gradient Boosting based on Fuzzy Spatial-Temporal Multivariate Clustering.
J. Big Data
Ujjwal Singh, Sadaf Nasreen, Gaurav Tripathi, Pragya Mehrishi, Rajani Kumar Pradhan, Poppová Bestakova, Vivek Vikram Singh, Kanhu Charan Gouda, Laxmi Kant Sharma, Kiran Jalem, Petr Máca, Rama Rao Nidamanuri, Akhilesh Singh Raghubanshi, Yannis Markonis, Rakovec Oldrich, Martin Hanel
2025 J jnl
Distilling spectral-spatial knowledge for efficient hyperspectral image classification.
Signal Image Video Process.
Vamshi Krishna Munipalle, Usha Rani Nelakuditi, Rama Rao Nidamanuri
2025 J jnl
Dynamic Spectral Similarity Method (DSSM) - A Novel Method for Automated Identification of Objects in Hyperspectral Imagery.
IEEE Geosci. Remote. Sens. Lett.
Harsha Chandra, Rama Rao Nidamanuri
2025 J jnl
Optimal band selection and transfer in drone-based hyperspectral images for plant-level vegetable crops identification using statistical-swarm intelligence (SSI) hybrid algorithms.
Ecol. Informatics
Anagha S. Sarma, Rama Rao Nidamanuri
2023 C conf
Abundance of Plastic-Litter in Hyperspectral Imagery Using Spectral Unmixing in Coastal Environment.
IGARSS
C. V. S. S. Manohar Kumar, M. S. Salini, Rama Rao Nidamanuri
2023 — conf
Active Learning-Enhanced Plant-Level Crop Mapping with Drone Hyperspectral Imaging and Evolutionary Computing.
WHISPERS
Anagha S. Sarma, Rama Rao Nidamanuri
2023 C conf
Assessment of the Long-Term Dynamics of Algal Blooms and Their Linkages with Oceanographic Parameters Using Time-Series Remote Sensing Data.
IGARSS
P. Punya, Rama Rao Nidamanuri
2023 — conf
Automatic Object Based Plant-level Crop Segmentation in Drone-based Hyperspectral Imagery.
WHISPERS
Indu K. C, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri
2023 C conf
CloudSegnet: A Deep Learning Based Segmentation Method For Cloud Detection In Multispectral Satellite Imagery.
IGARSS
Manoj Kaushik, Anagha S. Sarma, Rama Rao Nidamanuri
2023 C conf
Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping.
IGARSS
Anagha S. Sarma, Rama Rao Nidamanuri
2023 J jnl
Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years.
Inf. Fusion
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
2023 C conf
Hyperspectral Detection of Fusarium Wilt in Tomato Plants Using Machine Learning-Based Approaches.
IGARSS
Sivaganesh Baskaran, Chaitra Gadari, C. V. S. S. Manohar Kumar, Manoj Kaushik, R. G. Sharathchandra Ramasandra Govind, Rama Rao Nidamanuri
2023 — conf
Invasive Plant Species Detection in Airborne Hyperspectral Imagery over Complex Forest Landscape.
WHISPERS
Aarsha B. R, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri
2023 J jnl
Shadow invariant classification for high-resolution images.
Digit. Signal Process.
Dubacharla Gyaneshwar, Rama Rao Nidamanuri
2023 — conf
Solid Waste Detection and Waste-material Characterization in Urban Environment at Subpixel Level in Airborne Hyperspectral Imagery.
WHISPERS
Nijitha P, C. V. S. S. Manohar Kumar, Dhanya S. Pankaj, Rama Rao Nidamanuri
2023 — conf
Sub-pixel Discrimination of Soil and Crop in Drone-based Hyperspectral Imagery.
WHISPERS
C. V. S. S. Manohar Kumar, Rama Rao Nidamanuri, Vinay Kumar Dadhwal
2022 J jnl
A real-time SC
J. Real Time Image Process.
Dubacharla Gyaneshwar, Rama Rao Nidamanuri
2022 C conf
Convolutional Neural Network (CNN) for Crop - Classification of Drone Acquired Hyperspectral Imagery.
IGARSS
Abhinav Galodha, Rahul Vashisht, Rama Rao Nidamanuri, Anandakumar M. Ramiya
2022 J jnl
Target Detection in Hyperspectral Imagery Using Atmospheric-Spectral Modeling and Deep Learning.
IEEE Geosci. Remote. Sens. Lett.
Sudhanshu Shekhar Jha, Chaitanya Joshi, Rama Rao Nidamanuri
2021 J jnl
A Novel Supervised Cascaded Classifier System (SC²S) for Robust Remote Sensing Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Dubacharla Gyaneshwar, Rama Rao Nidamanuri
2021 J jnl
Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning.
Comput. Electron. Agric.
Jayakumari Reji, Rama Rao Nidamanuri, Anandakumar M. Ramiya, Thomas Astor, Michael Wachendorf, Andreas Buerkert
2020 J jnl
Gudalur Spectral Target Detection (GST-D): ANew Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data.
Remote. Sens.
Sudhanshu Shekhar Jha, Rama Rao Nidamanuri
2019 — conf
Multi-Scale Dilated Residual Convolutional Neural Network for Hyperspectral Image Classification.
WHISPERS
Kumari Pooja, Rama Rao Nidamanuri, Deepak Mishra
2019 J jnl
Multi-Temporal Monsoon Crop Biomass Estimation Using Hyperspectral Imaging.
Remote. Sens.
Supriya Dayananda, Thomas Astor, Jayan Wijesingha, Subbarayappa Chickadibburahalli Thimappa, Hanumanthappa Dimba Chowdappa, Mudalagiriyappa, Rama Rao Nidamanuri, Sunil Nautiyal, Michael Wachendorf
2019 J jnl
Terrestrial laser scanner based 3D reconstruction of trees and retrieval of leaf area index in a forest environment.
Ecol. Informatics
Indu Indirabai, M. V. Harindranathan Nair, R. Nair Jaishanker, Rama Rao Nidamanuri
2018 J jnl
Active Learning-Based Optimized Training Library Generation for Object-Oriented Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Rajeswari Balasubramaniam, Srivalsan Namboodiri, Rama Rao Nidamanuri, Rama Krishna Sai Subrahmanyam Gorthi
2018 J jnl
Estimation of Vegetable Crop Parameter by Multi-temporal UAV-Borne Images.
Remote. Sens.
Thomas Möckel, Supriya Dayananda, Rama Rao Nidamanuri, Sunil Nautiyal, Nagaraju Hanumaiah, Andreas Buerkert, Michael Wachendorf
2017 — conf
Bayesian Approach for Landslide Identification from High-Resolution Satellite Images.
CVIP (2)
Pilli Madalasa, Gorthi R. K. Sai Subrahmanyam, Tapas Ranjan Martha, Rama Rao Nidamanuri, Deepak Mishra
2017 — conf
Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images.
CVIP (1)
Rajeswari Balasubramaniam, Gorthi R. K. Sai Subrahmanyam, Rama Rao Nidamanuri
2017 J jnl
Robust algorithm for multiview registration.
IET Comput. Vis.
Dhanya S. Pankaj, Rama Rao Nidamanuri
2015 J jnl
Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Bharath Bhushan Damodaran, Rama Rao Nidamanuri, Yuliya Tarabalka
2014 J jnl
Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Bharath Bhushan Damodaran, Rama Rao Nidamanuri
2014 — conf
ProLoSAC: An Improved RANSAC Algorithm for Pairwise Registration of 3D Point Clouds.
ICVGIP
Dhanya S. Pankaj, Rama Rao Nidamanuri, Bhanu Prasad Pinnamaneni
2014 — conf
Spectral discrimination of tea plant varieties by statistical, machine learning and spectral similarity methods.
WHISPERS
Rama Rao Nidamanuri
2013 C conf
Dynamic classifier system for hyperspectral image classification.
IGARSS
D. Bharath Bhushan, Rama Rao Nidamanuri
2011 J jnl
Normalized Spectral Similarity Score NS
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Rama Rao Nidamanuri, Bernd Zbell