Hannah Rae Kerner
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Novelty detection for multispectral images with application to planetary exploration
HR Kerner, DF Wellington, KL Wagstaff, JF Bell, C Kwan, HB Amor
Proceedings of the aaai conference on artificial intelligence 33 (01), 9484-9491, 2019
Demosaicing enhancement using pixel-level fusion
C Kwan, B Chou, LYM Kwan, J Larkin, B Ayhan, JF Bell, H Kerner
Signal, Image and Video Processing 12 (4), 749-756, 2018
Toward generalized change detection on planetary surfaces with convolutional autoencoders and transfer learning
HR Kerner, KL Wagstaff, BD Bue, PC Gray, JF Bell, HB Amor
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2019
Rapid response crop maps in data sparse regions
H Kerner, G Tseng, I Becker-Reshef, C Nakalembe, B Barker, B Munshell, ...
arXiv preprint arXiv:2006.16866, 2020
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions
HR Kerner, KL Wagstaff, BD Bue, DF Wellington, S Jacob, P Horton, ...
Data Mining and Knowledge Discovery 34 (6), 1642-1675, 2020
Too many AI researchers think real-world problems are not relevant
H Kerner
Opinion. MIT Technology Review, 2020
The Lunar Polar Hydrogen Mapper (LunaH-Map) CubeSat Mission
C Hardgrove, J Bell, R Starr, T Colaprete, M Robinson, D Drake, I Lazbin, ...
47th Annual Lunar and Planetary Science Conference, 2654, 2016
Learning to predict crop type from heterogeneous sparse labels using meta-learning
G Tseng, H Kerner, C Nakalembe, I Becker-Reshef
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Evaluating the impact of the 2020 Iowa Derecho on corn and soybean fields using synthetic aperture radar
M Hosseini, HR Kerner, R Sahajpal, E Puricelli, YH Lu, AF Lawal, ...
Remote Sensing 12 (23), 3878, 2020
Resilient in-season crop type classification in multispectral satellite observations using growth stage normalization
H Kerner, R Sahajpal, S Skakun, I Becker-Reshef, B Barker, M Hosseini, ...
arXiv preprint arXiv:2009.10189, 2020
Context-dependent image quality assessment of JPEG compressed Mars Science Laboratory Mastcam images using convolutional neural networks
HR Kerner, JF Bell III, HB Amor
Computers & Geosciences 118, 109-121, 2018
Integrating machine learning for planetary science: Perspectives for the next decade
AR Azari, JB Biersteker, RM Dewey, G Doran, EJ Forsberg, CDK Harris, ...
arXiv preprint arXiv:2007.15129, 2020
Field-level crop type classification with k nearest neighbors: a baseline for a new Kenya smallholder dataset
H Kerner, C Nakalembe, I Becker-Reshef
arXiv preprint arXiv:2004.03023, 2020
Sowing seeds of food security in africa
C Nakalembe, C Justice, H Kerner, C Justice, I Becker-Reshef
Eos (Washington. DC) 102, 2021
Annual and in-season mapping of cropland at field scale with sparse labels
G Tseng, H Kerner, C Nakalembe, I Becker-Reshef
Proceedings of the Neural Information Processing Systems (NeurIPS) Workshops, 2020
The lunar polar hydrogen mapper (lunah-map) cubesat mission
H Kerner, C Hardgrove, J Bell, R Amzler, A Babuscia, M Beasley, ...
Cropharvest: A global dataset for crop-type classification
G Tseng, I Zvonkov, CL Nakalembe, H Kerner
Thirty-fifth Conference on Neural Information Processing Systems Datasets …, 2021
Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques
A Lawal, H Kerner, I Becker-Reshef, S Meyer
Remote Sensing 13 (13), 2430, 2021
Street2sat: A machine learning pipeline for generating ground-truth geo-referenced labeled datasets from street-level images
M Paliyam, C Nakalembe, K Liu, R Nyiawung, H Kerner
Tackling Climate Change with Machine Learning Workshop at the International …, 2021
Persistent impact of spring floods on crop loss in US Midwest
M Shirzaei, M Khoshmanesh, C Ojha, S Werth, H Kerner, G Carlson, ...
Weather and Climate Extremes 34, 100392, 2021
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Artikelen 1–20