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Koreen Millard
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2020 – today
- 2023
- [c2]Anthony Fuller, Koreen Millard, James R. Green:
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders. NeurIPS 2023 - [i2]Anthony Fuller, Koreen Millard, James R. Green:
CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders. CoRR abs/2311.00566 (2023) - 2022
- [j12]Anthony Fuller
, Koreen Millard
, James R. Green
:
SatViT: Pretraining Transformers for Earth Observation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [i1]Anthony Fuller, Koreen Millard, James R. Green:
Transfer Learning with Pretrained Remote Sensing Transformers. CoRR abs/2209.14969 (2022) - 2020
- [j11]Sacha D. Nandlall
, Koreen Millard
:
Quantifying the Relative Importance of Variables and Groups of Variables in Remote Sensing Classifiers Using Shapley Values and Game Theory. IEEE Geosci. Remote. Sens. Lett. 17(1): 42-46 (2020) - [j10]Laura E. Chasmer
, Danielle Cobbaert
, Craig Mahoney, Koreen Millard, Daniel Peters
, Kevin Devito, Brian Brisco
, Chris Hopkinson, Michael Allan Merchant, Joshua Montgomery, Kailyn Nelson, K. Olaf Niemann:
Remote Sensing of Boreal Wetlands 1: Data Use for Policy and Management. Remote. Sens. 12(8): 1320 (2020) - [j9]Laura E. Chasmer
, Craig Mahoney, Koreen Millard, Kailyn Nelson, Daniel Peters
, Michael Allan Merchant, Chris Hopkinson, Brian Brisco
, K. Olaf Niemann, Joshua Montgomery, Kevin Devito, Danielle Cobbaert
:
Remote Sensing of Boreal Wetlands 2: Methods for Evaluating Boreal Wetland Ecosystem State and Drivers of Change. Remote. Sens. 12(8): 1321 (2020) - [j8]Koreen Millard, Patrick Kirby, Sacha D. Nandlall
, Amir Behnamian, Sarah N. Banks, Fabrizio Pacini:
Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions of Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series. Remote. Sens. 12(15): 2465 (2020)
2010 – 2019
- 2019
- [c1]Amir Behnamian, Sarah N. Banks, Lori White, Koreen Millard
, Darren Pouliot, Jon Pasher, Jason Duffe:
Dimensionality Reduction in The Presence of Highly Correlated Variables for Random Forests: Wetland Case Study. IGARSS 2019: 9839-9842 - 2018
- [j7]Koreen Millard
, Dan K. Thompson
, Marc-André Parisien, Murray Richardson:
Soil Moisture Monitoring in a Temperate Peatland Using Multi-Sensor Remote Sensing and Linear Mixed Effects. Remote. Sens. 10(6): 903 (2018) - 2017
- [j6]Amir Behnamian
, Koreen Millard
, Sarah N. Banks, Lori White, Murray Richardson, Jon Pasher:
A Systematic Approach for Variable Selection With Random Forests: Achieving Stable Variable Importance Values. IEEE Geosci. Remote. Sens. Lett. 14(11): 1988-1992 (2017) - [j5]Lori White, Koreen Millard
, Sarah N. Banks, Murray Richardson, Jon Pasher, Jason Duffe:
Moving to the RADARSAT Constellation Mission: Comparing Synthesized Compact Polarimetry and Dual Polarimetry Data with Fully Polarimetric RADARSAT-2 Data for Image Classification of Peatlands. Remote. Sens. 9(6): 573 (2017) - [j4]Sarah N. Banks, Koreen Millard
, Amir Behnamian, Lori White, Tobias Ullmann
, François Charbonneau, Zhaohua Chen
, Huili Wang, Jon Pasher, Jason Duffe:
Contributions of Actual and Simulated Satellite SAR Data for Substrate Type Differentiation and Shoreline Mapping in the Canadian Arctic. Remote. Sens. 9(12): 1206 (2017) - [j3]Amir Behnamian, Sarah N. Banks, Lori White, Brian Brisco
, Koreen Millard, Jon Pasher, Zhaohua Chen
, Jason Duffe, Laura L. Bourgeau-Chavez
, Michael Battaglia
:
Semi-Automated Surface Water Detection with Synthetic Aperture Radar Data: A Wetland Case Study. Remote. Sens. 9(12): 1209 (2017) - 2015
- [j2]Koreen Millard
, Murray Richardson:
On the Importance of Training Data Sample Selection in Random Forest Image Classification: A Case Study in Peatland Ecosystem Mapping. Remote. Sens. 7(7): 8489-8515 (2015) - [j1]Sarah N. Banks, Koreen Millard
, Jon Pasher, Murray Richardson, Huili Wang, Jason Duffe:
Assessing the Potential to Operationalize Shoreline Sensitivity Mapping: Classifying Multiple Wide Fine Quadrature Polarized RADARSAT-2 and Landsat 5 Scenes with a Single Random Forest Model. Remote. Sens. 7(10): 13528-13563 (2015)
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