Dalton D. Lunga

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 55

Top Topics

Convolutional Network

Top Venues

ACM SIGSPATIAL Special

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

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)
Aristeidis Tsaris, Philipe Ambrozio Dias, Abhishek Potnis, Junqi Yin, Feiyi Wang, Dalton D. Lunga
Pretraining Billion-scale Geospatial Foundational Models on Frontier. CoRR (2024)
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) (2024)
Abhishek Potnis, Dalton D. Lunga, Philipe A. Dias, Lexie Yang, Jacob Arndt, Jordan Bowman
Scaling Automatic Vector Data Alignment to Satellite Imagery. IGARSS (2023)
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)
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)
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)
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)
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 (2023)
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)
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 (2022)
Dalton D. Lunga, Philipe A. Dias
Advancing Data Fusion in Earth Sciences. IGARSS (2022)
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) (2022)
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)
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 (2022)
Philipe A. Dias, Dalton D. Lunga
Embedding Ethics and Trustworthiness for Sustainable AI in Earth Sciences: Where Do We Begin? IGARSS (2022)
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)
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 (2022)
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) (2021)
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. ACM SIGSPATIAL Special 13 (2021)
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 (2021)
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 (2021)
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)
Abhishek Kumar Dubey, Michael T. Young, Christopher Stanley, Dalton D. Lunga, Jacob D. Hinkle
Computer-aided Abnormality Detection in Chest Radiographs in a Clinical Setting via Domain-adaptation. BIOIMAGING (2021)
Ranjeet Devarakonda, Kavya Guntupally, Michele Thornton, Yaxing Wei, Debjani Singh, Dalton D. Lunga
FAIR Interfaces for Geospatial Scientific Data Searches. GeoSearch@SIGSPATIAL (2021)
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)
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 (2021)
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 (2021)
Tao Liu, Dalton D. Lunga
Automated Openstreetmap Data Alignment for Road Network Mapping. IGARSS (2020)
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) (2020)
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) (2020)
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)
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 (2020)
Jacob Arndt, Dalton D. Lunga
Sampling Subjective Polygons for Patch-Based Deep Learning Land-Use Classification in Satellite Images. IGARSS (2020)
Abhishek Kumar Dubey, Michael T. Young, Christopher Stanley, Dalton D. Lunga, Jacob D. Hinkle
Computer-aided abnormality detection in chest radiographs in a clinical setting via domain-adaptation. CoRR (2020)
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)
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) (2019)
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) (2019)
Xueqing Deng, Hsiuhan Lexie Yang, Nikhil Makkar, Dalton D. Lunga
Large Scale Unsupervised Domain Adaptation of Segmentation Networks with Adversarial Learning. IGARSS (2019)
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 (2019)
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)
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)
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)
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) (2018)
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) (2018)
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)
Dalton D. Lunga, Matthew Seals, Budhendra L. Bhaduri
Multilevel Semantic Labeling of Mobile Homes from Overhead Imagery. IGARSS (2018)
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) (2018)
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 (2018)
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 (2017)
Hsiuhan Lexie Yang, Dalton D. Lunga, Jiangye Yuan
Toward country scale building detection with convolutional neural network using aerial images. IGARSS (2017)
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)
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)
Dalton D. Lunga, Hsiu-Han Lexie Yang, Budhendra L. Bhaduri
Hashed Binary Search Sampling for Convolutional Network Training with Large Overhead Image Patches. CoRR (2017)
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)
Dalton D. Lunga, Okan K. Ersoy
Multidimensional Artificial Field Embedding With Spatial Sensitivity. IEEE Trans. Geosci. Remote. Sens. 52 (2) (2014)
Yuhang Zhang, Hsiuhan Lexie Yang, Dalton D. Lunga, Saurabh Prasad, Melba M. Crawford
Spatial context driven manifold learning for hyperspectral image classification. WHISPERS (2014)
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) (2014)
Dalton D. Lunga, Okan K. Ersoy
Spherical Stochastic Neighbor Embedding of Hyperspectral Data. IEEE Trans. Geosci. Remote. Sens. 51 (2) (2013)
Dalton D. Lunga, Okan K. Ersoy
Dynamic hyperspectral embedding with a spatial sensitive graph. IGARSS (2013)
Dalton D. Lunga, Okan K. Ersoy
Nonlinear Dynamic Field Embedding: On Hyperspectral Scene Visualization CoRR (2012)
Dalton D. Lunga, Okan K. Ersoy
Unsupervised Classification of Hyperspectral Images on Spherical Manifolds. ICDM (2011)
Dalton D. Lunga, Okan K. Ersoy
Spherical Nearest Neighbor Classification: Application to Hyperspectral Data. MLDM (2011)
Dalton D. Lunga, Okan K. Ersoy
Kent mixture model for classification of remote sensing data on spherical manifolds. AIPR (2011)
Dalton D. Lunga, Okan K. Ersoy
Spherical Classification of Remote Sensing Data. Trans. Mach. Learn. Data Min. 4 (2) (2011)
Dalton D. Lunga, Sergey Kirshner
Generating Similar Graphs From Spherical Features CoRR (2011)
Dalton D. Lunga, Tshilidzi Marwala
Online Forecasting of Stock Market Movement Direction Using the Improved Incremental Algorithm. ICONIP (3) (2006)
Dalton D. Lunga, Tshilidzi Marwala
Time Series Analysis Using Fractal Theory and Online Ensemble Classifiers. Australian Conference on Artificial Intelligence (2006)