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04/25/2023
Segment anything, from space?
Recently, the first foundation model developed specifically for vision t...
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10/23/2022
Transformers For Recognition In Overhead Imagery: A Reality Check
There is evidence that transformers offer state-of-the-art recognition p...
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06/29/2021
SIMPL: Generating Synthetic Overhead Imagery to Address Zero-shot and Few-Shot Detection Problems
Recently deep neural networks (DNNs) have achieved tremendous success fo...
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04/28/2021
Randomized Histogram Matching: A Simple Augmentation for Unsupervised Domain Adaptation in Overhead Imagery
Modern deep neural networks (DNNs) achieve highly accurate results for m...
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01/16/2021
GridTracer: Automatic Mapping of Power Grids using Deep Learning and Overhead Imagery
Energy system information valuable for electricity access planning such ...
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01/15/2020
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
Recently deep learning - namely convolutional neural networks (CNNs) - h...
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02/28/2019
Mapping solar array location, size, and capacity using deep learning and overhead imagery
The effective integration of distributed solar photovoltaic (PV) arrays ...
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05/30/2018
Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps
In this work we consider the application of convolutional neural network...
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01/11/2018
