Rama Rao Nidamanuri

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 27

Top Topics

Machine Learning

Ensemble Selection

Top Venues

IEEE Geosci. Remote. Sens. Lett.

Publications

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)
Manoj Kaushik, Anagha S. Sarma, Rama Rao Nidamanuri
CloudSegnet: A Deep Learning Based Segmentation Method For Cloud Detection In Multispectral Satellite Imagery. IGARSS (2023)
Anagha S. Sarma, Rama Rao Nidamanuri
Active Learning-Enhanced Plant-Level Crop Mapping with Drone Hyperspectral Imaging and Evolutionary Computing. WHISPERS (2023)
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)
Anagha S. Sarma, Rama Rao Nidamanuri
Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping. IGARSS (2023)
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)
Dubacharla Gyaneshwar, Rama Rao Nidamanuri
Shadow invariant classification for high-resolution images. Digit. Signal Process. 136 (2023)
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)
Sivaganesh Baskaran, Chaitra Gadari, Manohar Kumar C. V. S. S., 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)
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)
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 (2023)
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)
Deepak S. Bisht, T. Narayana Rao, Rama Rao Nidamanuri, G. S. V. Chandrakanth, Akshit Sharma
Prediction of Integrated Water Vapor Using a Machine Learning Technique. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
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 (2022)
Dubacharla Gyaneshwar, Rama Rao Nidamanuri
S-based open-set recognition in remote sensing imagery. J. Real Time Image Process. 19 (5) (2022)
Abhinav Galodha, Rahul Vashisht, Rama Rao Nidamanuri, Anandakumar M. Ramiya
Convolutional Neural Network (CNN) for Crop - Classification of Drone Acquired Hyperspectral Imagery. IGARSS (2022)
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) (2021)
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 (2021)
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) (2020)
Kumari Pooja, Rama Rao Nidamanuri, Deepak Mishra
Multi-Scale Dilated Residual Convolutional Neural Network for Hyperspectral Image Classification. WHISPERS (2019)
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)
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) (2019)
Rajeswari Balasubramaniam, Srivalsan Namboodiri, Rama Rao Nidamanuri, Gorthi R. K. Sai Subrahmanyam
Active Learning-Based Optimized Training Library Generation for Object-Oriented Image Classification. IEEE Trans. Geosci. Remote. Sens. 56 (1) (2018)
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) (2018)
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)
Dhanya S. Pankaj, Rama Rao Nidamanuri
Robust algorithm for multiview registration. IET Comput. Vis. 11 (1) (2017)
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)
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) (2015)
Dhanya S. Pankaj, Rama Rao Nidamanuri, Bhanu Prasad Pinnamaneni
ProLoSAC: An Improved RANSAC Algorithm for Pairwise Registration of 3D Point Clouds. ICVGIP (2014)
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) (2014)
Rama Rao Nidamanuri
Spectral discrimination of tea plant varieties by statistical, machine learning and spectral similarity methods. WHISPERS (2014)
D. Bharath Bhushan, Rama Rao Nidamanuri
Dynamic classifier system for hyperspectral image classification. IGARSS (2013)
Rama Rao Nidamanuri, Bernd Zbell
as an Efficient Spectral Library Searching Method for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4 (1) (2011)