Rama Rao Nidamanuri
Orcid: 0000-0003-3930-6595Affiliations:
- Indian Institute of Space Science and Technology (IIST), Department of Earth and Space Sciences, Thiruvananthapuram, Kerala, India
- Indian Institute of Technology, Roorkee, India (PhD 2006)
According to our database1,
Rama Rao Nidamanuri
authored at least 35 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on iist.ac.in
-
on orcid.org
On csauthors.net:
Bibliography
2024
Nowcasting of Storms Using Predicted Integrated Water Vapor With a Machine Learning Technique and Satellite Brightness Temperature.
IEEE Trans. Geosci. Remote. Sens., 2024
2023
Hybrid multi-model ensemble learning for reconstructing gridded runoff of Europe for 500 years.
Inf. Fusion, September, 2023
Digit. Signal Process., May, 2023
Active Learning-Enhanced Plant-Level Crop Mapping with Drone Hyperspectral Imaging and Evolutionary Computing.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Invasive Plant Species Detection in Airborne Hyperspectral Imagery over Complex Forest Landscape.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Solid Waste Detection and Waste-material Characterization in Urban Environment at Subpixel Level in Airborne Hyperspectral Imagery.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Automatic Object Based Plant-level Crop Segmentation in Drone-based Hyperspectral Imagery.
Proceedings of the 13th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2023
Evolutionary Optimisation Techniques for Band Selection in Drone-Based Hyperspectral Images for Vegetable Crops Mapping.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Assessment of the Long-Term Dynamics of Algal Blooms and Their Linkages with Oceanographic Parameters Using Time-Series Remote Sensing Data.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Abundance of Plastic-Litter in Hyperspectral Imagery Using Spectral Unmixing in Coastal Environment.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
CloudSegnet: A Deep Learning Based Segmentation Method For Cloud Detection In Multispectral Satellite Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Hyperspectral Detection of Fusarium Wilt in Tomato Plants Using Machine Learning-Based Approaches.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
Target Detection in Hyperspectral Imagery Using Atmospheric-Spectral Modeling and Deep Learning.
IEEE Geosci. Remote. Sens. Lett., 2022
IEEE Geosci. Remote. Sens. Lett., 2022
J. Real Time Image Process., 2022
Convolutional Neural Network (CNN) for Crop - Classification of Drone Acquired Hyperspectral Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
A Novel Supervised Cascaded Classifier System (SC²S) for Robust Remote Sensing Image Classification.
IEEE Geosci. Remote. Sens. Lett., 2021
Multi-temporal estimation of vegetable crop biophysical parameters with varied nitrogen fertilization using terrestrial laser scanning.
Comput. Electron. Agric., 2021
2020
Gudalur Spectral Target Detection (GST-D): ANew Benchmark Dataset and Engineered Material Target Detection in Multi-Platform Remote Sensing Data.
Remote. Sens., 2020
2019
Remote. Sens., 2019
Terrestrial laser scanner based 3D reconstruction of trees and retrieval of leaf area index in a forest environment.
Ecol. Informatics, 2019
Multi-Scale Dilated Residual Convolutional Neural Network for Hyperspectral Image Classification.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019
2018
Active Learning-Based Optimized Training Library Generation for Object-Oriented Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2018
Remote. Sens., 2018
Discrimination of Tree Species Based on Their Spectra Collected at Spatio-Temporal Scale In The Forest of Araku, Eastern Ghats, India.
Proceedings of the 9th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2018
2017
Bayesian Approach for Landslide Identification from High-Resolution Satellite Images.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
Learning-Based Fuzzy Fusion of Multiple Classifiers for Object-Oriented Classification of High Resolution Images.
Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2017
2015
Dynamic Ensemble Selection Approach for Hyperspectral Image Classification With Joint Spectral and Spatial Information.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015
2014
Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Spectral discrimination of tea plant varieties by statistical, machine learning and spectral similarity methods.
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2014
Proceedings of the 2014 Indian Conference on Computer Vision, 2014
2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2011
Normalized Spectral Similarity Score NS<sup>3</sup> as an Efficient Spectral Library Searching Method for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011