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ORCIDDalton D. Lunga
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- affiliation: Oak Ridge National Laboratory, USA
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2020 – today
- 2024
[j22]Yingjie Hu, Michael F. Goodchild, A-Xing Zhu, May Yuan, Orhun Aydin, Budhendra Bhaduri, Song Gao, Wenwen Li, Dalton D. Lunga, Shawn D. Newsam:
A five-year milestone: reflections on advances and limitations in GeoAI research. Ann. GIS 30(1): 1-14 (2024)- [j21]Jacob Arndt
, Jason Wohlgemuth, Hsiuhan Lexie Yang, Jordan Bowman, Dalton D. Lunga, Dawn King:
A Science Gateway for the Repeatable Analysis of Machine Learning Predicted Gravity Anomalies. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j20]Ujjwal Verma, Dalton D. Lunga, Ronny Hänsch, Claudio Persello, Silvia Liberata Ullo:
Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geosci. Remote. Sens. Lett. 21: 1-4 (2024) - [c41]Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga:
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. SIGSPATIAL/GIS 2024: 597-600 - [c40]Ronny Hänsch, Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga, Desiree Petrie, Todd M. Bacastow:
Introducing SpaceNet 9 - Cross-Modal Satellite Imagery Registration for Natural Disaster Responses. IGARSS 2024: 234-238 - [c39]Jacob Arndt, Anurupa Roy, Marie L. Urban, Dalton D. Lunga:
Deep Learning Scene Classification Experiments in Automatic Detection of Slums on Planetscope Imagery. IGARSS 2024: 1576-1580 - [c38]Philipe A. Dias, Jacob Arndt, Marie L. Urban, Dalton D. Lunga:
Conditional Experts for Improved Building Damage Assessment Across Satellite Imagery View Angles. IGARSS 2024: 1741-1745 - [c37]Jacob Arndt, Philipe A. Dias, Abhishek Potnis, Dalton D. Lunga:
Towards Diverse and Representative Global Pretraining Datasets for Remote Sensing Foundation Models. IGARSS 2024: 2723-2728 - [c36]Ujjwal Verma, Dalton D. Lunga, Abhishek Potnis:
Towards Interpretable Machine Learning Metrics For Earth Observation Image Analysis. IGARSS 2024: 4066-4068 - [c35]Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga:
Pretraining Billion-Scale Geospatial Foundational Models on Frontier. IPDPS (Workshops) 2024: 1036-1046 - [e9]Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel:
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1176-3 [contents] - [e8]Hao Li, Abhishek Potnis, Wenwen Li, Dalton D. Lunga, Martin Werner, Andreas Züfle:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024. ACM 2024, ISBN 979-8-4007-1148-0 [contents] - [i13]Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga:
Pretraining Billion-scale Geospatial Foundational Models on Frontier. CoRR abs/2404.11706 (2024) - [i12]Philipe A. Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, Hsiuhan Lexie Yang, Dalton D. Lunga:
OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery. CoRR abs/2410.19965 (2024) - 2023
- [c34]Marie L. Urban, Jessica Moehl, Philipe A. Dias, Joseph Tuccillo, Andrew Reith, Kelly M. Sims, Sarah Walters, Jacob Arndt, Abhishek Potnis, Dalton D. Lunga:
Towards Rapid Response Updates of Populations at Risk. IGARSS 2023: 907-910 - [c33]Dalton D. Lunga, Ronny Hänsch, Ujjwal Verma, Fabio Pacifici, George Percivall, Silvia Liberata Ullo:
ARD, FAIR Earth Observation Principles, Data Fusion: Where are we and where do we need to go? IGARSS 2023: 1122-1125 - [c32]Philipe A. Dias, Abhishek Potnis, Sreelekha Guggilam, Lexie Yang, Aristeidis Tsaris, Henry Medeiros, Dalton D. Lunga:
An Agenda for Multimodal Foundation Models for Earth Observation. IGARSS 2023: 1237-1240 - [c31]Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Tyler Pedelose, Arnold P. Boedihardjo, Joshua Pfefferkorn, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8: Winning Approaches to Multi-Class Feature Segmentation from Satellite Imagery for Flood Disasters. IGARSS 2023: 1241-1244 - [c30]Abhishek Potnis, Dalton D. Lunga, Alexandre Sorokine, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman, Jason Wohlgemuth:
Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding. IGARSS 2023: 1400-1403 - [c29]Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman:
Scaling Automatic Vector Data Alignment to Satellite Imagery. IGARSS 2023: 1676-1679 - [e7]Shawn D. Newsam, Lexie Yang, Gengchen Mai, Bruno Martins, Dalton D. Lunga, Song Gao:
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [e6]Hao Li, Gabriele Cavallaro, Dora B. Heras, Dalton D. Lunga, Martin Werner, Andreas Züfle:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, GeoSearch 2023, Hamburg, Germany, 13 November 2023. ACM 2023 [contents] - [i11]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens:
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [j19]Dalton D. Lunga, Rohan Dhamdhere, Sarah Walters, Lauryn Bragg, Nikhil Makkar, Marie L. Urban:
Learning to Count Grave Sites for Cemetery Observation Models With Satellite Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j18]Bruno Martins, Dalton D. Lunga, Song Gao, Shawn D. Newsam, Lexie Yang, Xueqing Deng, Gengchen Mai:
Report of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2022). ACM SIGSPATIAL Special 14(1): 23-25 (2022) - [j17]Philipe A. Dias, Yuxin Tian, Shawn D. Newsam, Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga:
Model Assumptions and Data Characteristics: Impacts on Domain Adaptation in Building Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [c28]Ronny Hänsch, Jacob Arndt, Dalton D. Lunga, Matthew Gibb, Tyler Pedelose, Arnold P. Boedihardjo, Desiree Petrie, Todd M. Bacastow:
SpaceNet 8 - The Detection of Flooded Roads and Buildings. CVPR Workshops 2022: 1471-1479 - [c27]Philipe A. Dias, Dalton D. Lunga:
Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? IGARSS 2022: 4639-4642 - [c26]Dalton D. Lunga, Philipe A. Dias:
Advancing Data Fusion in Earth Sciences. IGARSS 2022: 5077-5080 - [c25]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Takahiro Yabe, Xiaofan Liang, Bhavani Ananthabhotla, Nikhil Behari, Sreelekha Guggilam, Guanghua Chi:
Data-driven Humanitarian Mapping and Policymaking: Toward Planetary-Scale Resilience, Equity, and Sustainability. KDD 2022: 4872-4873 - [e5]Dalton D. Lunga, Shawn D. Newsam:
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022, Seattle, Washington, 1 November 2022. ACM 2022, ISBN 978-1-4503-9532-8 [contents] - [i10]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiuhan Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. CoRR abs/2210.13207 (2022) - 2021
- [j16]Dalton D. Lunga, Yingjie Hu, Shawn D. Newsam, Song Gao, Bruno Martins, Hsiu-Han Lexie Yang, Xueqing Deng:
GeoAI at ACM SIGSPATIAL: The New Frontier of Geospatial Artificial Intelligence Research. ACM SIGSPATIAL Special 13(3): 21-32 (2021) - [j15]Jacob Arndt, Dalton D. Lunga:
Large-Scale Classification of Urban Structural Units From Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2634-2648 (2021) - [j14]Dalton D. Lunga, Jacob Arndt, Jonathan Gerrand, Robert N. Stewart:
ReSFlow: A Remote Sensing Imagery Data-Flow for Improved Model Generalization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 10468-10483 (2021) - [c24]Abhishek Kumar Dubey, Michael T. Young, Christopher B. Stanley, Dalton D. Lunga, Jacob D. Hinkle:
Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation. BIOIMAGING 2021: 65-72 - [c23]Ranjeet Devarakonda, Kavya Guntupally, Michele Thornton, Yaxing Wei, Debjani Singh, Dalton D. Lunga:
FAIR Interfaces for Geospatial Scientific Data Searches. GeoSearch@SIGSPATIAL 2021: 1-4 - [c22]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi:
Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. KDD 2021: 4125-4126 - [c21]Aristeidis Tsaris, Jacob D. Hinkle, Dalton D. Lunga, Philipe Ambrozio Dias:
Distributed Training for High Resolution Images: A Domain and Spatial Decomposition Approach. RSDHA@SC 2021: 27-33 - [e4]Dalton D. Lunga, Hsiuhan Lexie Yang, Song Gao, Bruno Martins, Yingjie Hu, Xueqing Deng, Shawn D. Newsam:
GeoAI@SIGSPATIAL 2021: Proceedings of the 4th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, Beijing, China, November 2, 2021. ACM 2021, ISBN 978-1-4503-9120-7 [contents] - [e3]Gabriele Cavallaro, Dora B. Heras, Dalton D. Lunga, Martin Werner, Andreas Züfle:
GeoSearch'21: Proceedings of the 1st ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data, Virtual Event / Beijing, China, 2 November 2021. ACM 2021, ISBN 978-1-4503-9123-8 [contents] - [i9]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Elizabeth Bondi:
Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. CoRR abs/2109.00100 (2021) - [i8]Snehalkumar (Neil) S. Gaikwad, Shankar Iyer, Dalton D. Lunga, Yu-Ru Lin:
Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning. CoRR abs/2109.00435 (2021) - 2020
- [j13]Pranab Kanti Roy Chowdhury, Jeanette E. Weaver, Eric M. Weber, Dalton D. Lunga, St. Thomas M. LeDoux, Amy N. Rose, Budhendra L. Bhaduri:
Electricity consumption patterns within cities: application of a data-driven settlement characterization method. Int. J. Digit. Earth 13(1): 119-135 (2020) - [j12]Arthur Elmes, Seyed Hamed Alemohammad, Ryan Avery, Kelly K. Caylor, J. Ronald Eastman, Lewis Fishgold, Mark A. Friedl, Meha Jain, Divyani Kohli, Juan Carlos Laso Bayas, Dalton D. Lunga, Jessica L. McCarty, Robert Gilmore Pontius Jr., Andrew B. Reinmann, John Rogan, Lei Song, Hristiana Stoynova, Su Ye, Zhuang-Fang Yi, Lyndon D. Estes:
Accounting for Training Data Error in Machine Learning Applied to Earth Observations. Remote. Sens. 12(6): 1034 (2020) - [j11]Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 271-283 (2020) - [c20]Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris:
Toward Large-Scale Image Segmentation on Summit. ICPP 2020: 27:1-27:11 - [c19]Jacob Arndt, Dalton D. Lunga:
Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images. IGARSS 2020: 1953-1956 - [c18]Tao Liu, Dalton D. Lunga:
Automated Openstreetmap Data Alignment for Road Network Mapping. IGARSS 2020: 2603-2606 - [i7]Abhishek Kumar Dubey, Michael T. Young, Christopher B. Stanley, Dalton D. Lunga, Jacob D. Hinkle:
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation. CoRR abs/2012.10564 (2020)
2010 – 2019
- 2019
- [j10]Kuldeep R. Kurte, Jibonananda Sanyal, Anne Berres, Dalton D. Lunga, Mark Coletti, Hsiuhan Lexie Yang, Daniel Graves, Benjamin Liebersohn, Amy N. Rose:
Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer. Concurr. Comput. Pract. Exp. 31(20) (2019) - [j9]Yingjie Hu, Song Gao, Dalton D. Lunga, Wenwen Li, Shawn D. Newsam, Budhendra Bhaduri:
GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. ACM SIGSPATIAL Special 11(2): 5-15 (2019) - [j8]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019. ACM SIGSPATIAL Special 11(3): 23-24 (2019) - [c17]Tao Liu, Hsiuhan Lexie Yang, Dalton D. Lunga:
Towards Misregistration-Tolerant Change Detection using Deep Learning Techniques with Object-Based Image Analysis. SIGSPATIAL/GIS 2019: 420-423 - [c16]Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga:
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. IGARSS 2019: 4955-4958 - [c15]Jacob Arndt, Dalton D. Lunga, Jeanette E. Weaver, St. Thomas M. LeDoux, Sarah Tennille:
Multiscale Based Characterization and Classification of Urban Land-Use. IGARSS 2019: 9470-9473 - [c14]Mark Coletti, Dalton D. Lunga, Jeffrey K. Bassett, Amy N. Rose:
Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit. DLS@SC 2019: 36-44 - [e2]Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen:
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019. ACM 2019, ISBN 978-1-4503-6957-2 [contents] - [i6]Dalton D. Lunga, Jonathan Gerrand, Hsiuhan Lexie Yang, Christopher Layton, Robert N. Stewart:
Apache Spark Accelerated Deep Learning Inference for Large Scale Satellite Image Analytics. CoRR abs/1908.04383 (2019) - 2018
- [j7]Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga:
GeoAI 2018 workshop report the 2nd ACM SIGSPATIAL international workshop on GeoAI: AI for geographic knowledge discovery seattle, WA, USA - November 6, 2018. ACM SIGSPATIAL Special 10(3): 16 (2018) - [j6]Dalton D. Lunga, Hsiuhan Lexie Yang, Andrew Reith, Jeanette E. Weaver, Jiangye Yuan, Budhendra L. Bhaduri:
Domain-Adapted Convolutional Networks for Satellite Image Classification: A Large-Scale Interactive Learning Workflow. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 962-977 (2018) - [j5]Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra Bhaduri:
Building Extraction at Scale Using Convolutional Neural Network: Mapping of the United States. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(8): 2600-2614 (2018) - [c13]Jeanette E. Weaver, Brian Moore, Andrew Reith, Jacob J. McKee, Dalton D. Lunga:
A Comparison of Machine Learning Techniques to Extract Human Settlements from High Resolution Imagery. IGARSS 2018: 6412-6415 - [c12]Dalton D. Lunga, Matthew Seals, Budhendra L. Bhaduri:
Multilevel Semantic Labeling of Mobile Homes from Overhead Imagery. IGARSS 2018: 6931-6934 - [e1]Yingjie Hu, Song Gao, Shawn D. Newsam, Dalton D. Lunga:
Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAIi@SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018. ACM 2018, ISBN 978-1-4503-6036-4 [contents] - [i5]Hsiuhan Lexie Yang, Jiangye Yuan, Dalton D. Lunga, Melanie Laverdiere, Amy N. Rose, Budhendra L. Bhaduri:
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States. CoRR abs/1805.08946 (2018) - 2017
- [c11]Dalton D. Lunga, Hsiu-Han Lexie Yang, Jiangye Yuan, Budhendra L. Bhaduri:
Hashed binary search sampling for convolutional network training with large overhead image patches. IGARSS 2017: 767-770 - [c10]Hsiuhan Lexie Yang, Dalton D. Lunga, Jiangye Yuan:
Toward country scale building detection with convolutional neural network using aerial images. IGARSS 2017: 870-873 - [c9]Dalton D. Lunga, Dilip R. Patlolla, Hsiuhan Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri:
Exploiting convolutional representations for multiscale human settlement detection: Preliminary results. IGARSS 2017: 3779-3782 - [c8]Jonathan Gerrand, Quentin Williams, Dalton D. Lunga, Adam Pantanowitz, Shabir Madhi, Nasreen Mahomed:
Paediatric Frontal Chest Radiograph Screening with Fine-Tuned Convolutional Neural Networks. MIUA 2017: 850-861 - [i4]Dalton D. Lunga, Dilip R. Patlolla, Hsiu-Han Lexie Yang, Jeanette E. Weaver, Budhendra L. Bhaduri:
Exploiting Convolutional Representations for Multiscale Human Settlement Detection. CoRR abs/1707.05683 (2017) - [i3]Dalton D. Lunga, Hsiu-Han Lexie Yang, Budhendra L. Bhaduri:
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches. CoRR abs/1707.05685 (2017) - 2014
- [j4]Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford, Okan K. Ersoy:
Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning. IEEE Signal Process. Mag. 31(1): 55-66 (2014) - [j3]Dalton D. Lunga, Okan K. Ersoy:
Multidimensional Artificial Field Embedding With Spatial Sensitivity. IEEE Trans. Geosci. Remote. Sens. 52(2): 1518-1532 (2014) - [c7]Yuhang Zhang, Hsiuhan Lexie Yang, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford:
Spatial context driven manifold learning for hyperspectral image classification. WHISPERS 2014: 1-4 - 2013
- [j2]Dalton D. Lunga, Okan K. Ersoy:
Spherical Stochastic Neighbor Embedding of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 51(2): 857-871 (2013) - [c6]Dalton D. Lunga, Okan K. Ersoy:
Dynamic hyperspectral embedding with a spatial sensitive graph. IGARSS 2013: 2176-2179 - 2012
- [i2]Dalton D. Lunga, Okan K. Ersoy:
Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization. CoRR abs/1211.6675 (2012) - 2011
- [j1]Dalton D. Lunga, Okan K. Ersoy:
Spherical Classification of Remote Sensing Data. Trans. Mach. Learn. Data Min. 4(2): 75-95 (2011) - [c5]Dalton D. Lunga, Okan K. Ersoy:
Kent mixture model for classification of remote sensing data on spherical manifolds. AIPR 2011: 1-7 - [c4]Dalton D. Lunga, Okan K. Ersoy:
Unsupervised Classification of Hyperspectral Images on Spherical Manifolds. ICDM 2011: 134-146 - [c3]Dalton D. Lunga, Okan K. Ersoy:
Spherical Nearest Neighbor Classification: Application to Hyperspectral Data. MLDM 2011: 170-184 - [i1]Dalton D. Lunga, Sergey Kirshner:
Generating Similar Graphs From Spherical Features. CoRR abs/1105.2965 (2011)
2000 – 2009
- 2006
- [c2]Dalton D. Lunga, Tshilidzi Marwala:
Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers. Australian Conference on Artificial Intelligence 2006: 312-321 - [c1]Dalton D. Lunga, Tshilidzi Marwala:
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm. ICONIP (3) 2006: 440-449
Coauthor Index
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