Virtual remote sensing: a holistic modeling approach. - Surya S. Durbha; Roger L. King; Louis Wasson; Pushkar S. Pradhan (IGARSS, 2002)

Knowledge mining in Earth observation data archives: a domain ontology perspective. - Surya S. Durbha; Roger L. King (IGARSS, 2004)

Interoperability in costal zone monitoring systems: resolving semantic heterogeneities through ontology driven middleware. - Surya S. Durbha; Roger L. King (IGARSS, 2005)

Semantics driven framework for coastal zones. - Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2005)

Wavelet features for information mining in remote sensing archives. - Vijay P. Shah; Nicolas H. Younan; Surya S. Durbha; Roger L. King (IGARSS, 2005)

Semantics-enabled framework for knowledge discovery from Earth observation data archives. - Surya S. Durbha; Roger L. King (IEEE Trans. Geosci. Remote. Sens., 2005)

Semantics-Enabled Knowledge Management for Global Earth Observation System of Systems. - Surya S. Durbha; Roger L. King; Vijay P. Shah; Nicolas H. Younan (IGARSS, 2006)

Coalescing ICA and Wavelets Coefficients for Image Information Mining in Earth Observation Data Archives. - Vijay P. Shah; Surya S. Durbha; Nicolas H. Younan; Roger L. King (IGARSS, 2006)

Image information mining from geospatial archives based on a combination of the wavelet transform and Fourier phase descriptor. - Vijay P. Shah; Nicolas H. Younan; Surya S. Durbha; Roger L. King (Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security, 2007)

Image information mining for coastal disaster management. - Surya S. Durbha; Roger L. King; Vijay P. Shah; Nicolas H. Younan (IGARSS, 2007)

Application of the contourlet transform for image information mining in earth observation data archives. - Vijay P. Shah; Nicolas H. Younan; Surya S. Durbha; Roger L. King (IGARSS, 2007)

A Systematic Approach to Wavelet-Decomposition-Level Selection for Image Information Mining From Geospatial Data Archives. - Vijay P. Shah; Nicolas H. Younan; Surya S. Durbha; Roger L. King (IEEE Trans. Geosci. Remote. Sens., 2007)

Standards-Based Coastal Sensor Web. - Surya S. Durbha; Roger L. King; Nicolas H. Younan; Santosh A. Rajender; Shruthi Bheemireddy (ICDM Workshops, 2008)

A Proposal for the Standardization of Image Information Mining Systems via OGC Web Services Framework. - Surya S. Durbha; Roger L. King; Balakrishna Gokaraju; Nicolas H. Younan (IGARSS (3), 2008)

An Information Semantics Approach for Knowledge Management and Interoperability for the Global Earth Observation System of Systems. - Surya S. Durbha; Roger L. King; Nicolas H. Younan (IEEE Syst. J., 2008)

Information Services and Middleware for the Coastal Sensor Web. - Surya S. Durbha; Roger L. King; Santhosh K. Amanchi; Shruthi Bheemireddy; Nicolas H. Younan (ICDM Workshops, 2009)

Mobile Computing and Sensor Web Services for Coastal Buoys. - Santhosh K. Amanchi; Surya S. Durbha; Roger L. King; Shruthi Bheemireddy; Nicolas H. Younan (IGARSS (5), 2009)

An Ontology Merging Tool to Facilitate Interoperability between Coastalsensor Networks. - Shruthi Bheemireddy; Surya S. Durbha; Roger L. King; Santhosh K. Amanchi; Nicolas H. Younan (IGARSS (5), 2009)

Sensor Web and Data Mining Approaches for Harmful Algal Bloom Detection and Monitoring in the Gulf of Mexico Region. - Balakrishna Gokaraju; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS (3), 2009)

A framework for semantic reconciliation of disparate earth observation thematic data. - Surya S. Durbha; Roger L. King; Vijay P. Shah; Nicolas H. Younan (Comput. Geosci., 2009)

AN improved ensemble appraoch with Probabilistic Neural Network-Combinational algorithm. - Balakrishna Gokaraju; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2010)

Wrapper-Based Feature Subset Selection for Rapid Image Information Mining. - Surya S. Durbha; Roger L. King; Nicolas H. Younan (IEEE Geosci. Remote. Sens. Lett., 2010)

Feature Identification via a Combined ICA-Wavelet Method for Image Information Mining. - Vijay P. Shah; Nicolas H. Younan; Surya S. Durbha; Roger L. King (IEEE Geosci. Remote. Sens. Lett., 2010)

Standards-Based Middleware and Tools for Coastal Sensor Web Applications. - Surya S. Durbha; Roger L. King; Santhosh K. Amanchi; Shruthi Bheemireddy; Nicolas H. Younan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2010)

Evaluating transfer learning approaches for image information mining applications. - Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2011)

Comprehensive performance analysis of Spatio-Temporal Data Mining approach on multi-temporal coastal remote sensing datasets. - Balakrishna Gokaraju; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2011)

A Machine Learning Based Spatio-Temporal Data Mining Approach for Detection of Harmful Algal Blooms in the Gulf of Mexico. - Balakrishna Gokaraju; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011)

Geospatial ontologies matching: An information theoretic approach. - Ujwala Bharambe; Surya S. Durbha; Roger L. King (IGARSS, 2012)

Standards-based sensor web for agro-informatics applications. - Vrushali M. Patil; Surya S. Durbha; J. Adinarayana (IGARSS, 2012)

Ensemble Methodology Using Multistage Learning for Improved Detection of Harmful Algal Blooms. - Balakrishna Gokaraju; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IEEE Geosci. Remote. Sens. Lett., 2012)

Domain adaptation approach for classification of high resolution post-disaster data. - Prakash Andugula; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2013)

Cloud detection in satellite imagery using graphics processing units. - Ujwala Bhangale; Surya S. Durbha (IGARSS, 2013)

Pareto optimization for multiobjective matching of geospatial ontologies. - Ujwala Bharambe; Surya S. Durbha; Kuldeep R. Kurte; Nicolas H. Younan; Roger L. King (IGARSS, 2013)

High resolution disaster data clustering using Graphics Processing Units. - Kuldeep R. Kurte; Surya S. Durbha (IGARSS, 2013)

High performance SIFT feature classification of VHR satellite imagery for disaster management. - Ujwala Bhangale; Surya S. Durbha (IGARSS, 2014)

Analogy based similarity mining for geo-ontology matching. - Ujwala Bharambe; Surya S. Durbha (IGARSS, 2014)

KrishiSense: A semantically aware web enabled wireless sensor network system for precision agriculture applications. - Suryakant A. Sawant; Jagarlapudi Adinarayana; Surya S. Durbha (IGARSS, 2014)

Post-Disaster image analysis using domain adaptation. - Prakash Andugula; Surya S. Durbha (IGARSS, 2015)

High performance SIFT features clustering of VHR satellite images for disaster management. - Ujwala Bhangale; Surya S. Durbha (WCI, 2015)

Spatio-Temporal Ontology for Change Analysis of Flood Affected Areas Using Remote Sensing Images. - Kuldeep R. Kurte; Surya S. Durbha (JOWO@FOIS, 2016)

Big data processing using hpc for remote sensing disaster data. - Ujwala Bhangale; Kuldeep R. Kurte; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2016)

Use of geo-ontology matching to measure the degree of interoperability. - Ujwala Bharambe; Surya S. Durbha; Roger L. King; Nicolas H. Younan; Kuldeep R. Kurte (IGARSS, 2016)

Accelerating Big Data processing chain in Image Information Mining using a hybrid HPC approach. - Kuldeep R. Kurte; Ujwala Bhangale; Surya S. Durbha; Roger L. King; Nicolas H. Younan (IGARSS, 2016)

Exploring Visualization of Geospatial Ontologies using Cesium. - Abhishek Potnis; Surya S. Durbha (VOILA@ISWC, 2016)

Embedded high performance computing for on-board hyperspectral image classification. - Pankaj H. Randhe; Surya S. Durbha; Nicolas H. Younan (WHISPERS, 2016)

Gaussian process based spatial modeling of soil moisture for dense soil moisture sensing network. - Prakash Andugula; Surya S. Durbha; Avinash Lokhande; Saurabh Suradhaniwar (Agro-Geoinformatics, 2017)

Energy optimization in wireless sensor networks using duty-cycling approach. - Saurabh Suradhanwiar; Surya S. Durbha; J. Adinarayana (Agro-Geoinformatics, 2017)

A spatio-temporal ontological model for flood disaster monitoring. - Kuldeep R. Kurte; Surya S. Durbha; Roger L. King; Nicolas H. Younan; Abhishek V. Potnis (IGARSS, 2017)

GEO-Visual analytics for healthcare critical infrastructure simulation model. - Nivedita Nukavarapu; Surya S. Durbha (IGARSS, 2017)

Interoperable agro-meteorological observation and analysis platform for precision agriculture: A case study in citrus crop water requirement estimation. - Suryakant A. Sawant; Surya S. Durbha; Jagarlapudi Adinarayana (Comput. Electron. Agric., 2017)

Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data. - Kuldeep R. Kurte; Surya S. Durbha; Roger L. King; Nicolas H. Younan; Ranga Raju Vatsavai (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017)

A Geospatial Ontological Model for Remote Sensing Scene Semantic Knowledge Mining for the Flood Disaster. - Abhishek V. Potnis; Surya S. Durbha; Kuldeep R. Kurte (IGARSS, 2018)

On-Board Biophysical Parameters Estimation Using High Performance Computing. - Pratyush V. Talreja; Surya S. Durbha; Abhishek V. Potnis (IGARSS, 2018)

Evaluation of Citrus Gummosis disease dynamics and predictions with weather and inversion based leaf optical model. - Mrunalini R. Badnakhe; Surya S. Durbha; Jagarlapudi Adinarayana; Rajendra M. Gade (Comput. Electron. Agric., 2018)

Adaptive Pareto-based approach for geo-ontology matching. - Ujwala Bharambe; Surya S. Durbha (Comput. Geosci., 2018)

Semantics-enabled Spatio-Temporal Modeling of Earth Observation Data: An application to Flood Monitoring. - Kuldeep R. Kurte; Abhishek Potnis; Surya S. Durbha (ARIC@SIGSPATIAL, 2019)

Rapid Earthquake Damage Detection Using Deep Learning from VHR Remote Sensing Images. - Ujwala Bhangale; Surya S. Durbha; Abhishek Potnis; Rajat C. Shinde (IGARSS, 2019)

Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications. - Kuldeep R. Kurte; Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde (IGARSS, 2019)

Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning. - Abhishek V. Potnis; Rajat C. Shinde; Surya S. Durbha; Kuldeep R. Kurte (IGARSS, 2019)

Compressive Sensing Based Reconstruction and Pixel-Level Classification of Very High-Resolution Disaster Satellite Imagery Using Deep Learning. - Rajat C. Shinde; Abhishek V. Potnis; Surya S. Durbha; Prakash Andugula (IGARSS, 2019)

Deep Learning-based Critical Infrastructure Simulation Model for Disaster Monitoring. - Parashuram Shourya Rajulapati; Nivedita Nukavarapu; Surya S. Durbha (ICDM (Workshops), 2020)

Edge Analytics and Complex Event Processing for Real Time Air Pollution Monitoring and Control. - Utkarsh Kulshrestha; Surya S. Durbha (IGARSS, 2020)

Towards Natural Language Question Answering Over Earth Observation Linked Data Using Attention-Based Neural Machine Translation. - Abhishek V. Potnis; Rajat C. Shinde; Surya S. Durbha (IGARSS, 2020)

Multi-Agent Deep Reinforcement Learning based Interdependent Critical Infrastructure Simulation Model for Situational Awareness during a Flood Event. - Parashuram Shourya Rajulapati; Nivedita Nukavarapu; Surya S. Durbha (IGARSS, 2020)

Online Point Cloud Super Resolution using Dictionary Learning for 3D Urban Perception. - Rajat C. Shinde; Abhishek V. Potnis; Surya S. Durbha (IGARSS, 2020)

Interdependent Healthcare Critical Infrastructure Analysis in a Spatiotemporal Environment: A Case Study. - Nivedita Nukavarapu; Surya S. Durbha (ISPRS Int. J. Geo Inf., 2020)

Towards Visual Exploration Of Semantically Enriched Remote Sensing Scene Knowledge Graphs (RSS-KGs). - Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde; Pratyush V. Talreja (IGARSS, 2021)

Towards Enabling Deep Learning-Based Question-Answering for 3D Lidar Point Clouds. - Rajat C. Shinde; Surya S. Durbha; Abhishek V. Potnis; Pratyush V. Talreja; Gaganpreet Singh (IGARSS, 2021)

Deep Reinforcement Learning Interdependent Healthcare Critical Infrastructure Simulation model for Dynamically Varying COVID-19 scenario - A case study of a Metro City. - Gollavilli Srikanth; Nivedita Nukavarapu; Surya S. Durbha (IGARSS, 2021)

Real-Time Embedded HPC Based Earthquake Damage Mapping Using 3D LiDAR Point Clouds. - Pratyush V. Talreja; Surya S. Durbha; Rajat C. Shinde; Abhishek V. Potnis (IGARSS, 2021)

An ensemble machine learning approach for determination of the optimum sampling time for evapotranspiration assessment from high-throughput phenotyping data. - Soumyashree Kar; Vikram Kumar Purbey; Saurabh Suradhaniwar; Lijalem Balcha Korbu; Jana Kholová; Surya S. Durbha; J. Adinarayana; Vincent Vadez (Comput. Electron. Agric., 2021)

Semantics-Driven Remote Sensing Scene Understanding Framework for Grounded Spatio-Contextual Scene Descriptions. - Abhishek V. Potnis; Surya S. Durbha; Rajat C. Shinde (ISPRS Int. J. Geo Inf., 2021)

Time Series Forecasting of Univariate Agrometeorological Data: A Comparative Performance Evaluation via One-Step and Multi-Step Ahead Forecasting Strategies. - Saurabh Suradhaniwar; Soumyashree Kar; Surya S. Durbha; Jagarlapudi Adinarayana (Sensors, 2021)

Data-Driven Transform Based Adaptive Compressive Sensing Framework for 3D Reconstruction of Forests. - Rajat C. Shinde; Surya S. Durbha; Pratyush V. Talreja (ICPR Workshops (2), 2022)

Deep Reinforcement Learning Driven Critical Infrastructure Protection During Extreme Events. - Keshav Agrawal; Surya S. Durbha; Pratyush V. Talreja; Nivedita Nukavarapu (IGARSS, 2023)

Texture Based LULC Classification of Images Using QSVM. - Archana G. Pai; Krishna Mohan Buddhiraju; Surya S. Durbha (IGARSS, 2023)

Unsupervised Stream Learning for 3D Lidar Point Clouds. - Shreelakshmi C. R; Surya S. Durbha; Rajat C. Shinde; Pratyush V. Talreja; Gaganpreet Singh (IGARSS, 2023)

Unsupervised Domain Adaptation Using Generative Adversarial Network for Extreme Events Monitoring. - Pratyush V. Talreja; Surya S. Durbha; Rajat C. Shinde; Shreelakshmi C. R (IGARSS, 2023)

Deep Convolutional Compressed Sensing-Based Adaptive 3D Reconstruction of Sparse LiDAR Data: A Case Study for Forests. - Rajat C. Shinde; Surya S. Durbha (Remote. Sens., 2023)

Adaptive LiDAR Reconstruction by Convolutional Compressive Sensing Network and Multivariate Empirical Mode Decomposition. - Rajat C. Shinde; Surya S. Durbha (Signal Process., 2023)

Landslide-as-a-Service: Standards-driven Landslide Mapping Framework using Machine Learning and GeoDataCube. - Chetan Mahajan; Rajat C. Shinde; Gérald Fenoy; Surya S. Durbha (ICDM (Workshops), 2024)

Binary Classification of Remotely Sensed Images Using SVD Based GLCM Features in Quantum Framework. - Archana G. Pai; Krishna Mohan Buddhiraju; Surya S. Durbha (IGARSS, 2024)