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Deep learning for accelerated all-dielectric metasurface design

Optics express, 2019-09, Vol.27 (20), p.27523-27535

2019

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Automatic detection of solar photovoltaic arrays in high resolution aerial imagery

Applied energy, 2016-12, Vol.183, p.229-240

2016

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Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-01, Vol.17, p.1-12

2024

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SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-shot and Few-Shot Detection Problems

IEEE journal of selected topics in applied earth observations and remote sensing, 2022-01, Vol.15, p.1-1

2022

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Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications

Remote sensing (Basel, Switzerland), 2022-11, Vol.14 (21), p.5500

2022

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GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery

IEEE journal of selected topics in applied earth observations and remote sensing, 2022, Vol.15, p.4956-4970

2022

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Neural-adjoint method for the inverse design of all-dielectric metasurfaces

Optics express, 2021-03, Vol.29 (5), p.7526-7534

2021

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Inverse deep learning methods and benchmarks for artificial electromagnetic material design

Nanoscale, 2022-03, Vol.14 (10), p.3958-3969

2022

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On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection

IEEE transactions on geoscience and remote sensing, 2018-01, Vol.56 (1), p.497-507

2018

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The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation

2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020, p.1803-1812

2020

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A Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar

IEEE transactions on geoscience and remote sensing, 2018-01, Vol.56 (1), p.547-558

2018

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Distributed solar photovoltaic array location and extent dataset for remote sensing object identification

Scientific data, 2016-12, Vol.3 (1), p.160106-160106, Article 160106

2016

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A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar

IEEE transactions on geoscience and remote sensing, 2019-09, Vol.57 (9), p.6929-6945

2019

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Segment anything, from space?

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, p.8340-8350

2024

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Soft-masks guided faster region-based convolutional neural network for domain adaptation in wind turbine detection

Frontiers in energy research, 2023-01, Vol.10

2023

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The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support

Neural networks, 2012-01, Vol.25 (1), p.141-145

2012

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A Probabilistic Model for Designing Multimodality Landmine Detection Systems to Improve Rates of Advance

IEEE transactions on geoscience and remote sensing, 2016-09, Vol.54 (9), p.5258-5270

2016

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Automatic solar photovoltaic panel detection in satellite imagery

2015 International Conference on Renewable Energy Research and Applications (ICRERA), 2015, p.1428-1431

2015

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Estimating residential building energy consumption using overhead imagery

Applied energy, 2020-12, Vol.280, p.116018, Article 116018

2020

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Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support

Physics in medicine & biology, 2011-01, Vol.56 (2), p.473-489

2011

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Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

Applied energy, 2022-11, Vol.326, p.119876, Article 119876

2022

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Inverse deep learning methods and benchmarks for artificial electromagnetic material design

Nanoscale, 2022-02, Vol.14 (10)

2022

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Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

Applied energy, 2023-09, Vol.326

2023

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What you get is not always what you see—pitfalls in solar array assessment using overhead imagery

Applied energy, 2022-12, Vol.327, p.120143, Article 120143

2022

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Neural-adjoint method for the inverse design of all-dielectric metasurfaces

Optics express, 2021-01, Vol.29 (5)

2021

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Deep learning for accelerated all-dielectric metasurface design

Automatic detection of solar photovoltaic arrays in high resolution aerial imagery

Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery

SIMPL: Generating Synthetic Overhead Imagery to Address Custom Zero-shot and Few-Shot Detection Problems

Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications

GridTracer: Automatic Mapping of Power Grids Using Deep Learning and Overhead Imagery

Neural-adjoint method for the inverse design of all-dielectric metasurfaces

Inverse deep learning methods and benchmarks for artificial electromagnetic material design

On Choosing Training and Testing Data for Supervised Algorithms in Ground-Penetrating Radar Data for Buried Threat Detection

The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation

A Large Comparison of Feature-Based Approaches for Buried Target Classification in Forward-Looking Ground-Penetrating Radar

Distributed solar photovoltaic array location and extent dataset for remote sensing object identification

A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar

Segment anything, from space?

Soft-masks guided faster region-based convolutional neural network for domain adaptation in wind turbine detection

The effect of class imbalance on case selection for case-based classifiers: An empirical study in the context of medical decision support

A Probabilistic Model for Designing Multimodality Landmine Detection Systems to Improve Rates of Advance

Automatic solar photovoltaic panel detection in satellite imagery

Estimating residential building energy consumption using overhead imagery

Comparative analysis of instance selection algorithms for instance-based classifiers in the context of medical decision support

Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

Inverse deep learning methods and benchmarks for artificial electromagnetic material design

Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

What you get is not always what you see—pitfalls in solar array assessment using overhead imagery

Neural-adjoint method for the inverse design of all-dielectric metasurfaces

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