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ORCIDSurya S. Durbha
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2020 – today
- 2024
[c62]Archana G. Pai, Krishna Mohan Buddhiraju, Surya S. Durbha:
Binary Classification of Remotely Sensed Images Using SVD Based GLCM Features in Quantum Framework. IGARSS 2024: 808-811- 2023
- [j19]Rajat C. Shinde
, Surya S. Durbha:
Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests. Remote. Sens. 15(5): 1394 (2023) - [j18]Rajat C. Shinde, Surya S. Durbha:
Adaptive LiDAR Reconstruction by Convolutional Compressive Sensing Network and Multivariate Empirical Mode Decomposition. Signal Process. 213: 109194 (2023) - [c61]Pratyush V. Talreja, Surya S. Durbha, Rajat C. Shinde, Shreelakshmi C. R:
Unsupervised Domain Adaptation Using Generative Adversarial Network for Extreme Events Monitoring. IGARSS 2023: 1672-1675 - [c60]Keshav Agrawal, Surya S. Durbha, Pratyush V. Talreja, Nivedita Nukavarapu:
Deep Reinforcement Learning Driven Critical Infrastructure Protection During Extreme Events. IGARSS 2023: 2540-2543 - [c59]Archana G. Pai, Krishna Mohan Buddhiraju, Surya S. Durbha:
Texture Based LULC Classification of Images Using QSVM. IGARSS 2023: 4423-4426 - [c58]Shreelakshmi C. R, Surya S. Durbha, Rajat C. Shinde, Pratyush V. Talreja, Gaganpreet Singh:
Unsupervised Stream Learning for 3D Lidar Point Clouds. IGARSS 2023: 4451-4454 - 2022
- [c57]Rajat C. Shinde, Surya S. Durbha, Pratyush V. Talreja:
Data-Driven Transform Based Adaptive Compressive Sensing Framework for 3D Reconstruction of Forests. ICPR Workshops (2) 2022: 133-141 - 2021
- [j17]Soumyashree Kar, Vikram Kumar Purbey, Saurabh Suradhaniwar, Lijalem Balcha Korbu, Jana Kholová, Surya S. Durbha, J. Adinarayana, Vincent Vadez:
An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. Comput. Electron. Agric. 182: 105992 (2021) - [j16]Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde:
Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions. ISPRS Int. J. Geo Inf. 10(1): 32 (2021) - [j15]Saurabh Suradhaniwar, Soumyashree Kar, Surya S. Durbha, Jagarlapudi Adinarayana:
Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies. Sensors 21(7): 2430 (2021) - [c56]Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde, Pratyush V. Talreja:
Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs). IGARSS 2021: 5783-5786 - [c55]Rajat C. Shinde, Surya S. Durbha, Abhishek V. Potnis, Pratyush V. Talreja, Gaganpreet Singh:
Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds. IGARSS 2021: 6936-6939 - [c54]Pratyush V. Talreja, Surya S. Durbha, Rajat C. Shinde, Abhishek V. Potnis:
Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds. IGARSS 2021: 8241-8244 - [c53]Gollavilli Srikanth, Nivedita Nukavarapu, Surya S. Durbha:
Deep Reinforcement Learning Interdependent Healthcare Critical Infrastructure Simulation model for Dynamically Varying COVID-19 scenario - A case study of a Metro City. IGARSS 2021: 8499-8502 - [i1]Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha:
Towards Natural Language Question Answering over Earth Observation Linked Data using Attention-based Neural Machine Translation. CoRR abs/2101.09427 (2021) - 2020
- [j14]Nivedita Nukavarapu, Surya S. Durbha:
Interdependent Healthcare Critical Infrastructure Analysis in a Spatiotemporal Environment: A Case Study. ISPRS Int. J. Geo Inf. 9(6): 387 (2020) - [c52]Parashuram Shourya Rajulapati, Nivedita Nukavarapu, Surya S. Durbha:
Deep Learning-based Critical Infrastructure Simulation Model for Disaster Monitoring. ICDM (Workshops) 2020: 828-835 - [c51]Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha:
Towards Natural Language Question Answering Over Earth Observation Linked Data Using Attention-Based Neural Machine Translation. IGARSS 2020: 577-580 - [c50]Utkarsh Kulshrestha, Surya S. Durbha:
Edge Analytics and Complex Event Processing for Real Time Air Pollution Monitoring and Control. IGARSS 2020: 893-896 - [c49]Rajat C. Shinde, Abhishek V. Potnis, Surya S. Durbha:
Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception. IGARSS 2020: 4414-4417 - [c48]Parashuram Shourya Rajulapati, Nivedita Nukavarapu, Surya S. Durbha:
Multi-Agent Deep Reinforcement Learning based Interdependent Critical Infrastructure Simulation Model for Situational Awareness during a Flood Event. IGARSS 2020: 6890-6893
2010 – 2019
- 2019
- [c47]Kuldeep R. Kurte, Abhishek Potnis, Surya S. Durbha:
Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to Flood Monitoring. ARIC@SIGSPATIAL 2019: 41-50 - [c46]Rajat C. Shinde, Abhishek V. Potnis, Surya S. Durbha, Prakash Andugula:
Compressive Sensing Based Reconstruction and Pixel-Level Classification of Very High-Resolution Disaster Satellite Imagery Using Deep Learning. IGARSS 2019: 2639-2642 - [c45]Ujwala Bhangale, Surya S. Durbha, Abhishek Potnis, Rajat C. Shinde:
Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images. IGARSS 2019: 2654-2657 - [c44]Abhishek V. Potnis, Rajat C. Shinde, Surya S. Durbha, Kuldeep R. Kurte:
Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning. IGARSS 2019: 9741-9744 - [c43]Kuldeep R. Kurte, Abhishek V. Potnis, Surya S. Durbha, Rajat C. Shinde:
Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications. IGARSS 2019: 9946-9949 - 2018
- [j13]Mrunalini R. Badnakhe, Surya S. Durbha, Jagarlapudi Adinarayana, Rajendra M. Gade:
Evaluation of Citrus Gummosis disease dynamics and predictions with weather and inversion based leaf optical model. Comput. Electron. Agric. 155: 130-141 (2018) - [j12]Ujwala Bharambe, Surya S. Durbha:
Adaptive Pareto-based approach for geo-ontology matching. Comput. Geosci. 119: 92-108 (2018) - [c42]Abhishek V. Potnis, Surya S. Durbha, Kuldeep R. Kurte:
A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster. IGARSS 2018: 5274-5277 - [c41]Pratyush V. Talreja, Surya S. Durbha, Abhishek V. Potnis:
On-Board Biophysical Parameters Estimation Using High Performance Computing. IGARSS 2018: 5445-5448 - 2017
- [j11]Suryakant A. Sawant, Surya S. Durbha, Jagarlapudi Adinarayana:
Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation. Comput. Electron. Agric. 138: 175-187 (2017) - [j10]Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Ranga Raju Vatsavai:
Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(1): 29-44 (2017) - [c40]Prakash Andugula, Surya S. Durbha, Avinash Lokhande, Saurabh Suradhaniwar:
Gaussian process based spatial modeling of soil moisture for dense soil moisture sensing network. Agro-Geoinformatics 2017: 1-5 - [c39]Saurabh Suradhanwiar, Surya S. Durbha, J. Adinarayana:
Energy optimization in wireless sensor networks using duty-cycling approach. Agro-Geoinformatics 2017: 1-6 - [c38]Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Abhishek V. Potnis:
A spatio-temporal ontological model for flood disaster monitoring. IGARSS 2017: 5213-5216 - [c37]Nivedita Nukavarapu, Surya S. Durbha:
GEO-Visual analytics for healthcare critical infrastructure simulation model. IGARSS 2017: 6106-6109 - 2016
- [c36]Kuldeep R. Kurte, Surya S. Durbha:
Spatio-Temporal Ontology for Change Analysis of Flood Affected Areas Using Remote Sensing Images. JOWO@FOIS 2016 - [c35]Ujwala Bhangale, Kuldeep R. Kurte, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Big data processing using hpc for remote sensing disaster data. IGARSS 2016: 5894-5897 - [c34]Kuldeep R. Kurte, Ujwala Bhangale, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Accelerating Big Data processing chain in Image Information Mining using a hybrid HPC approach. IGARSS 2016: 7597-7600 - [c33]Ujwala Bharambe, Surya S. Durbha, Roger L. King, Nicolas H. Younan, Kuldeep R. Kurte:
Use of geo-ontology matching to measure the degree of interoperability. IGARSS 2016: 7601-7604 - [c32]Abhishek Potnis, Surya S. Durbha:
Exploring Visualization of Geospatial Ontologies using Cesium. VOILA@ISWC 2016: 143-150 - [c31]Pankaj H. Randhe, Surya S. Durbha, Nicolas H. Younan:
Embedded high performance computing for on-board hyperspectral image classification. WHISPERS 2016: 1-5 - 2015
- [c30]Prakash Andugula, Surya S. Durbha:
Post-Disaster image analysis using domain adaptation. IGARSS 2015: 4848-4851 - [c29]Ujwala Bhangale, Surya S. Durbha:
High performance SIFT features clustering of VHR satellite images for disaster management. WCI 2015: 324-329 - 2014
- [c28]Ujwala Bhangale, Surya S. Durbha:
High performance SIFT feature classification of VHR satellite imagery for disaster management. IGARSS 2014: 3574-3577 - [c27]Suryakant A. Sawant, Jagarlapudi Adinarayana, Surya S. Durbha:
KrishiSense: A semantically aware web enabled wireless sensor network system for precision agriculture applications. IGARSS 2014: 4090-4093 - [c26]Ujwala Bharambe, Surya S. Durbha:
Analogy based similarity mining for geo-ontology matching. IGARSS 2014: 4496-4499 - 2013
- [c25]Ujwala Bhangale, Surya S. Durbha:
Cloud detection in satellite imagery using graphics processing units. IGARSS 2013: 270-273 - [c24]Ujwala Bharambe, Surya S. Durbha, Kuldeep R. Kurte, Nicolas H. Younan, Roger L. King:
Pareto optimization for multiobjective matching of geospatial ontologies. IGARSS 2013: 1159-1162 - [c23]Kuldeep R. Kurte, Surya S. Durbha:
High resolution disaster data clustering using Graphics Processing Units. IGARSS 2013: 1696-1699 - [c22]Prakash Andugula, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Domain adaptation approach for classification of high resolution post-disaster data. IGARSS 2013: 1733-1736 - 2012
- [j9]Balakrishna Gokaraju, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Ensemble Methodology Using Multistage Learning for Improved Detection of Harmful Algal Blooms. IEEE Geosci. Remote. Sens. Lett. 9(5): 827-831 (2012) - [c21]Ujwala Bharambe, Surya S. Durbha, Roger L. King:
Geospatial ontologies matching: An information theoretic approach. IGARSS 2012: 2918-2921 - [c20]Vrushali M. Patil, Surya S. Durbha, J. Adinarayana:
Standards-based sensor web for agro-informatics applications. IGARSS 2012: 6681-6684 - 2011
- [j8]Balakrishna Gokaraju, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
A Machine Learning Based Spatio-Temporal Data Mining Approach for Detection of Harmful Algal Blooms in the Gulf of Mexico. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 4(3): 710-720 (2011) - [c19]Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Evaluating transfer learning approaches for image information mining applications. IGARSS 2011: 1457-1460 - [c18]Balakrishna Gokaraju, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Comprehensive performance analysis of Spatio-Temporal Data Mining approach on multi-temporal coastal remote sensing datasets. IGARSS 2011: 2153-2156 - 2010
- [j7]Vijay P. Shah, Nicolas H. Younan, Surya S. Durbha, Roger L. King:
Feature Identification via a Combined ICA-Wavelet Method for Image Information Mining. IEEE Geosci. Remote. Sens. Lett. 7(1): 18-22 (2010) - [j6]Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Wrapper-Based Feature Subset Selection for Rapid Image Information Mining. IEEE Geosci. Remote. Sens. Lett. 7(1): 43-47 (2010) - [j5]Surya S. Durbha, Roger L. King, Santhosh K. Amanchi, Shruthi Bheemireddy, Nicolas H. Younan:
Standards-Based Middleware and Tools for Coastal Sensor Web Applications. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 3(4-1): 451-466 (2010) - [c17]Balakrishna Gokaraju, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
AN improved ensemble appraoch with Probabilistic Neural Network-Combinational algorithm. IGARSS 2010: 3430-3433
2000 – 2009
- 2009
- [j4]Surya S. Durbha, Roger L. King, Vijay P. Shah, Nicolas H. Younan:
A framework for semantic reconciliation of disparate earth observation thematic data. Comput. Geosci. 35(4): 761-773 (2009) - [c16]Surya S. Durbha, Roger L. King, Santhosh K. Amanchi, Shruthi Bheemireddy, Nicolas H. Younan:
Information Services and Middleware for the Coastal Sensor Web. ICDM Workshops 2009: 656-661 - [c15]Shruthi Bheemireddy, Surya S. Durbha, Roger L. King, Santhosh K. Amanchi, Nicolas H. Younan:
An Ontology Merging Tool to Facilitate Interoperability between Coastalsensor Networks. IGARSS (5) 2009: 367-370 - [c14]Santhosh K. Amanchi, Surya S. Durbha, Roger L. King, Shruthi Bheemireddy, Nicolas H. Younan:
Mobile Computing and Sensor Web Services for Coastal Buoys. IGARSS (5) 2009: 465-468 - [c13]Balakrishna Gokaraju, Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Sensor Web and Data Mining Approaches for Harmful Algal Bloom Detection and Monitoring in the Gulf of Mexico Region. IGARSS (3) 2009: 789-792 - 2008
- [j3]Surya S. Durbha, Roger L. King, Nicolas H. Younan:
An Information Semantics Approach for Knowledge Management and Interoperability for the Global Earth Observation System of Systems. IEEE Syst. J. 2(3): 358-365 (2008) - [c12]Surya S. Durbha, Roger L. King, Nicolas H. Younan, Santosh A. Rajender, Shruthi Bheemireddy:
Standards-Based Coastal Sensor Web. ICDM Workshops 2008: 369-374 - [c11]Surya S. Durbha, Roger L. King, Balakrishna Gokaraju, Nicolas H. Younan:
A Proposal for the Standardization of Image Information Mining Systems via OGC Web Services Framework. IGARSS (3) 2008: 648-651 - 2007
- [j2]Vijay P. Shah, Nicolas H. Younan, Surya S. Durbha, Roger L. King:
A Systematic Approach to Wavelet-Decomposition-Level Selection for Image Information Mining From Geospatial Data Archives. IEEE Trans. Geosci. Remote. Sens. 45(4): 875-878 (2007) - [c10]Vijay P. Shah, Nicolas H. Younan, Surya S. Durbha, Roger L. King:
Image information mining from geospatial archives based on a combination of the wavelet transform and Fourier phase descriptor. Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2007: 657009 - [c9]Vijay P. Shah, Nicolas H. Younan, Surya S. Durbha, Roger L. King:
Application of the contourlet transform for image information mining in earth observation data archives. IGARSS 2007: 338-341 - [c8]Surya S. Durbha, Roger L. King, Vijay P. Shah, Nicolas H. Younan:
Image information mining for coastal disaster management. IGARSS 2007: 342-345 - 2006
- [c7]Vijay P. Shah, Surya S. Durbha, Nicolas H. Younan, Roger L. King:
Coalescing ICA and Wavelets Coefficients for Image Information Mining in Earth Observation Data Archives. IGARSS 2006: 9-12 - [c6]Surya S. Durbha, Roger L. King, Vijay P. Shah, Nicolas H. Younan:
Semantics-Enabled Knowledge Management for Global Earth Observation System of Systems. IGARSS 2006: 25-28 - 2005
- [j1]Surya S. Durbha, Roger L. King:
Semantics-enabled framework for knowledge discovery from Earth observation data archives. IEEE Trans. Geosci. Remote. Sens. 43(11): 2563-2572 (2005) - [c5]Surya S. Durbha, Roger L. King:
Interoperability in costal zone monitoring systems: resolving semantic heterogeneities through ontology driven middleware. IGARSS 2005: 4236-4239 - [c4]Surya S. Durbha, Roger L. King, Nicolas H. Younan:
Semantics driven framework for coastal zones. IGARSS 2005: 5626-5629 - [c3]Vijay P. Shah, Nicolas H. Younan, Surya S. Durbha, Roger L. King:
Wavelet features for information mining in remote sensing archives. IGARSS 2005: 5630-5633 - 2004
- [c2]Surya S. Durbha, Roger L. King:
Knowledge mining in Earth observation data archives: a domain ontology perspective. IGARSS 2004 - 2002
- [c1]Surya S. Durbha, Roger L. King, Louis Wasson, Pushkar S. Pradhan:
Virtual remote sensing: a holistic modeling approach. IGARSS 2002: 723-725
Coauthor Index
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