Kyle Bradbury
Orcid: 0000-0001-9847-0243
According to our database1,
Kyle Bradbury
authored at least 32 papers
between 2015 and 2024.
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Bibliography
2024
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
2022
SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-Shot and Few-Shot Detection Problems.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications.
Remote. Sens., 2022
Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning.
ISPRS Int. J. Geo Inf., 2022
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis.
CoRR, 2022
2021
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems.
CoRR, 2021
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery.
CoRR, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Designing Synthetic Overhead Imagery to Match a Target Geographic Region: Preliminary Results Training Deep Learning Models.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Do Deep Learning Models Generalize to Overhead Imagery from Novel Geographic Domains? The xGD Benchmark Problem.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Mapping Electric Transmission Line Infrastructure from Aerial Imagery with Deep Learning.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Mapping solar array location, size, and capacity using deep learning and overhead imagery.
CoRR, 2019
A simple rotational equivariance loss for generic convolutional segmentation networks: preliminary results.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
Training a single multi-class convolutional segmentation network using multiple datasets with heterogeneous labels: preliminary results.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2018
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps.
CoRR, 2018
Application of a semantic segmentation convolutional neural network for accurate automatic detection and mapping of solar photovoltaic arrays in aerial imagery.
CoRR, 2018
Semisupervised Adversarial Discriminative Domain Adaptation, with Applicationto Remote Sensing Data.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Large-Scale Semantic Classification: Outcome of the First Year of Inria Aerial Image Labeling Benchmark.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Deep Convolutional Segmentation of Remote Sensing Imagery: A Simple and Efficient Alternative to Stitching Output Labels.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
On The Extraction of Training Imagery from Very Large Remote Sensing Datasets for Deep Convolutional Segmenatation Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Estimating the electricity generation capacity of solar photovoltaic arrays using only color aerial imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
Trading spatial resolution for improved accuracy when using detection algorithms on remote sensing imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
A deep convolutional neural network, with pre-training, for solar photovoltaic array detection in aerial imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017
The poor generalization of deep convolutional networks to aerial imagery from new geographic locations: an empirical study with solar array detection.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017
Trading spatial resolution for improved accuracy in remote sensing imagery: an empirical study using synthetic data.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017
2016
CoRR, 2016
2015
Proceedings of the 2015 IEEE International Conference on Smart Grid Communications, 2015