Hannah Rae Kerner
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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
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
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
The Lunar Polar Hydrogen Mapper (LunaH-Map) CubeSat Mission
C Hardgrove, J Bell, R Starr, T Colaprete, M Robinson, D Drake, I Lazbin, ...
Lunar and Planetary Science Conference, 2654, 2016
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
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
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
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
Sowing seeds of food security in africa
C Nakalembe, C Justice, H Kerner, C Justice, I Becker-Reshef
Eos (Washington. DC) 102, 2021
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
The lunar polar hydrogen mapper (lunah-map) cubesat mission
H Kerner, C Hardgrove, J Bell, R Amzler, A Babuscia, M Beasley, ...
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
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
Annual and in-season mapping of cropland at field scale with sparse labels
G Tseng, H Kerner, C Nakalembe, I Becker-Reshef
NeurIPS, 1-6, 2020
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
Rapid landslide identification using synthetic aperture radar amplitude change detection on the Google Earth Engine
AL Handwerger, SY Jones, MH Huang, P Amatya, HR Kerner, ...
Natural Hazards and Earth System Sciences Discussions, 1-24, 2020
Comparison of Novelty Detection Methods for Multispectral Images from the Mastcam Instrument Onboard Mars Science Laboratory
HR Kerner, KL Wagstaff, B Bue, DF Wellington, S Jacob, JF Bell, HB Amor
4th Planetary Data Workshop 2151, 7115, 2019
Autonomous Mapping of Surface Features on Mars
M Wronkiewicz, HR Kerner, T Harrison
AGU Fall Meeting Abstracts 2018, P41D-3758, 2018
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
CropHarvest: A global dataset for crop-type classification
G Tseng, I Zvonkov, CL Nakalembe, H Kerner
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