Hannah Kerner
Orcid: 0000-0002-3259-7759
According to our database1,
Hannah Kerner
authored at least 39 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Fields of The World: A Machine Learning Benchmark Dataset For Global Agricultural Field Boundary Segmentation.
CoRR, 2024
Multi-Region Transfer Learning for Segmentation of Crop Field Boundaries in Satellite Images with Limited Labels.
CoRR, 2024
CoRR, 2024
Automatic characterization of boulders on planetary surfaces from high-resolution satellite images.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Position: Mission Critical - Satellite Data is a Distinct Modality in Machine Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Satellite Data Shows Resilience of Tigrayan Farmers in Crop Cultivation During Civil War.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2023
OpenMapFlow: A Library for Rapid Map Creation with Machine Learning and Remote Sensing Data.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
High-Resolution Regional Digital Elevation Models and Derived Products from MESSENGER MDIS Images.
Remote. Sens., 2022
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022
2021
Mapping the Location and Extent of 2019 Prevent Planting Acres in South Dakota Using Remote Sensing Techniques.
Remote. Sens., 2021
Temporally Generalizable Land Cover Classification: A Recurrent Convolutional Neural Network Unveils Major Coastal Change through Time.
Remote. Sens., 2021
Toward Foundation Models for Earth Monitoring: Proposal for a Climate Change Benchmark.
CoRR, 2021
Using transfer learning to study burned area dynamics: A case study of refugee settlements in West Nile, Northern Uganda.
CoRR, 2021
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Evaluating the Impact of the 2020 Iowa Derecho on Corn and Soybean Fields Using Synthetic Aperture Radar.
Remote. Sens., 2020
Comparison of novelty detection methods for multispectral images in rover-based planetary exploration missions.
Data Min. Knowl. Discov., 2020
Resilient In-Season Crop Type Classification in Multispectral Satellite Observations using Growth Stage Normalization.
CoRR, 2020
Field-Level Crop Type Classification with k Nearest Neighbors: A Baseline for a New Kenya Smallholder Dataset.
CoRR, 2020
2019
PhD thesis, 2019
Toward Generalized Change Detection on Planetary Surfaces With Convolutional Autoencoders and Transfer Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019
Novelty Detection for Multispectral Images with Application to Planetary Exploration.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Context-dependent image quality assessment of JPEG compressed Mars Science Laboratory Mastcam images using convolutional neural networks.
Comput. Geosci., 2018