Building extraction at scale using convolutional neural network: Mapping of the united states HL Yang, J Yuan, D Lunga, M Laverdiere, A Rose, B Bhaduri IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2018 | 212 | 2018 |
Iterative self-organizing SCEne-LEvel sampling (ISOSCELES) for large-scale building extraction B Swan, M Laverdiere, HL Yang, A Rose GIScience & Remote Sensing 59 (1), 1-16, 2022 | 11 | 2022 |
Rapid structure detection in support of disaster response: A case study of the 2018 kilauea volcano eruption M Laverdiere, L Yang, M Tuttle, C Vaughan IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 7 | 2020 |
How good is good enough? Quantifying the effects of training set quality B Swan, M Laverdiere, HL Yang Proceedings of the 2nd ACM SIGSPATIAL International Workshop on AI for …, 2018 | 6 | 2018 |
Providing Geospatial Intelligence through a Scalable Imagery Pipeline A Reith, J McKee, A Rose, M Laverdiere, B Swan, D Hughes, S Voisin, ... Advances in Scalable and Intelligent Geospatial Analytics, 153-168, 2023 | 1 | 2023 |
Automated registration of vector data to overhead imagery J McKee, M Laverdiere 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 5465 …, 2021 | 1 | 2021 |
Mapping human dynamics A Rose, E Weber, J McKee, M Urban, D Lunga, L Yang, J Moehl, ... Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2020 | 1 | 2020 |
High performance geocomputation for assessing human dynamics at planet scale B Bhaduri, DD Lunga, L Yang, J Mckee, M Laverdiere, KR Kurte, J Sanyal Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019 | 1 | 2019 |
Boundary-Aware Adversarial Learning Domain Adaption and Active Learning for Cross-Sensor Building Extraction HL Yang, N Makkar, M Laverdiere, A Rose IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024 | | 2024 |
Iterative self-organizing SCEne-LEvel sampling (ISOSCELES) for large-scale building extraction M Laverdiere, HL Yang, A Rose, B Swan GIScience & Remote Sensing 59 (1), 2021 | | 2021 |
High Performance Geocomputation for Assessing Human Dynamics at Planet Scale. GeoComputation 2019 B Bhaduri, D Lunga, HH Yang, J McKee, M Laverdiere, K Kurte, J Sanyal The University of Auckland, 2019 | | 2019 |
ISOSCELES: Data Driven Sampling for Efficient Convolutional Neural Network Training B Swan, M Laverdiere, L Yang AGU Fall Meeting Abstracts 2018, H34B-02, 2018 | | 2018 |
Inclusion of Ancillary Data for Systematic Selection of Training Data for Convolutional Neural Networks K Wakefield, G Bailey, K Landolt, M Laverdiere, J Moehl, J McKee, ... AGU Fall Meeting Abstracts 2018, IN33B-0855, 2018 | | 2018 |
Enhancing a Historical US Industrial Emissions Database for Exposure Modeling RR Jones, AN Rose, D Kelbe, ML Laverdiere, N Deziel, MH Ward ISEE Conference Abstracts 2018 (1), 2018 | | 2018 |
Building Extraction at Scale using Convolutional Neural Network: Mapping of the United States H Lexie Yang, J Yuan, D Lunga, M Laverdiere, A Rose, B Bhaduri arXiv e-prints, arXiv: 1805.08946, 2018 | | 2018 |
Learning from Past Classification Errors: Exploring Methods for Improving the Performance of a Deep Learning-based Building Extraction Model through Quantitative Analysis of … B Swan, M Laverdiere, L Yang AGU Fall Meeting Abstracts 2017, IN53A-0074, 2017 | | 2017 |
Data and Geocomputation: Time Critical Mission Support for the 2017 Hurricane Season BL Bhaduri, M Tuttle, A Rose, J Sanyal, G Thakur, D White, HH Yang, ... AGU Fall Meeting Abstracts 2017, U32B-07, 2017 | | 2017 |
LandScan USA 2016 AN Rose, BL Bhaduri, EM Weber, JJ Moehl, ML Laverdiere, HH Yang, ... Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2017 | | 2017 |