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Hannah Rae Kerner
Hannah Rae Kerner
Assistant Professor, Arizona State University
Email verificata su umd.edu - Home page
Titolo
Citata da
Citata da
Anno
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
63*2021
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
622019
Lightweight, pre-trained transformers for remote sensing timeseries
G Tseng, R Cartuyvels, I Zvonkov, M Purohit, D Rolnick, H Kerner
arXiv preprint arXiv:2304.14065, 2023
532023
Generating landslide density heatmaps for rapid detection using open-access satellite radar data in Google Earth Engine
AL Handwerger, MH Huang, SY Jones, P Amatya, HR Kerner, ...
Natural Hazards and Earth System Sciences 22 (3), 753-773, 2022
45*2022
Geo-bench: Toward foundation models for earth monitoring
A Lacoste, N Lehmann, P Rodriguez, E Sherwin, H Kerner, B Lütjens, ...
Advances in Neural Information Processing Systems 36, 2024
442024
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
442019
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, 1642-1675, 2020
432020
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
362020
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
352021
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
332020
Position: Mission Critical–Satellite Data is a Distinct Modality in Machine Learning
E Rolf, K Klemmer, C Robinson, H Kerner
Forty-first International Conference on Machine Learning, 0
33*
Considerations for AI-EO for agriculture in Sub-Saharan Africa
C Nakalembe, H Kerner
Institute of Physics, 2023
322023
Demosaicing enhancement using pixel-level fusion
C Kwan, B Chou, LYM Kwan, J Larkin, B Ayhan, JF Bell III, H Kerner
Signal, Image and Video Processing 12 (4), 749-756, 2018
322018
Toward foundation models for earth monitoring: Proposal for a climate change benchmark
A Lacoste, ED Sherwin, H Kerner, H Alemohammad, B Lütjens, J Irvin, ...
arXiv preprint arXiv:2112.00570, 2021
312021
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
312021
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
242020
Too many AI researchers think real-world problems are not relevant
H Kerner
Retrieved January 21, 2022, 2020
222020
Spectral diversity of rocks and soils in Mastcam observations along the Curiosity rover's traverse in Gale crater, Mars
MS Rice, C Seeger, J Bell, F Calef, M St. Clair, A Eng, AA Fraeman, ...
Journal of Geophysical Research: Planets 127 (8), e2021JE007134, 2022
212022
Assessing and addressing the global state of food production data scarcity
EA Kebede, H Abou Ali, T Clavelle, HE Froehlich, JA Gephart, S Hartman, ...
Nature Reviews Earth & Environment 5 (4), 295-311, 2024
182024
Phenological normalization can improve in-season classification of maize and soybean: A case study in the central US corn belt
HR Kerner, R Sahajpal, DB Pai, S Skakun, E Puricelli, M Hosseini, ...
Science of Remote Sensing 6, 100059, 2022
142022
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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