research
∙
07/21/2023
Poverty rate prediction using multi-modal survey and earth observation data
This work presents an approach for combining household demographic and l...
share
research
∙
06/21/2023
Rapid building damage assessment workflow: An implementation for the 2023 Rolling Fork, Mississippi tornado event
Rapid and accurate building damage assessments from high-resolution sate...
research
∙
06/15/2023
SSL4EO-L: Datasets and Foundation Models for Landsat Imagery
The Landsat program is the longest-running Earth observation program in ...
research
∙
06/09/2023
Open Data on GitHub: Unlocking the Potential of AI
GitHub is the world's largest platform for collaborative software develo...
research
∙
05/22/2023
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters
Research in self-supervised learning (SSL) with natural images has progr...
research
∙
02/08/2023
Mask Conditional Synthetic Satellite Imagery
In this paper we propose a mask-conditional synthetic image generation m...
research
∙
06/10/2022
Fast building segmentation from satellite imagery and few local labels
Innovations in computer vision algorithms for satellite image analysis c...
research
∙
02/28/2022
Resolving label uncertainty with implicit posterior models
We propose a method for jointly inferring labels across a collection of ...
research
∙
01/31/2022
An Artificial Intelligence Dataset for Solar Energy Locations in India
Rapid development of renewable energy sources, particularly solar photov...
research
∙
12/21/2021
Mapping industrial poultry operations at scale with deep learning and aerial imagery
Concentrated Animal Feeding Operations (CAFOs) pose serious risks to air...
research
∙
11/17/2021
TorchGeo: deep learning with geospatial data
Remotely sensed geospatial data are critical for applications including ...
research
∙
06/29/2021
Detecting Cattle and Elk in the Wild from Space
Localizing and counting large ungulates – hoofed mammals like cows and e...
research
∙
04/23/2021
Becoming Good at AI for Good
AI for good (AI4G) projects involve developing and applying artificial i...
research
∙
03/17/2021
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
We propose a general model, Temporal Cluster Matching (TCM), for detecti...
research
∙
01/18/2021
Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary
We introduce FELICIA (FEderated LearnIng with a CentralIzed Adversary) a...
research
∙
01/04/2021
High-resolution land cover change from low-resolution labels: Simple baselines for the 2021 IEEE GRSS Data Fusion Contest
We present simple algorithms for land cover change detection in the 2021...
research
∙
04/24/2020
Mining self-similarity: Label super-resolution with epitomic representations
We show that simple patch-based models, such as epitomes, can have super...
research
∙
12/12/2019
Local Context Normalization: Revisiting Local Normalization
Normalization layers have been shown to improve convergence in deep neur...
research
∙
06/10/2019
Human-Machine Collaboration for Fast Land Cover Mapping
We propose incorporating human labelers in a model fine-tuning system th...
research
∙
04/23/2019
Migration patterns under different scenarios of sea level rise
We propose a framework to examine future migration patterns of people un...
research
∙
04/04/2019
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations
Deep learning is increasingly used in decision-making tasks. However, un...
research
∙
08/30/2017
