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20172022
most citedTowards a Collective Agenda on AI for Earth Science Data Analysis

83 citations · 158 across the 17 of their papers we have counts for

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27 papers · 1 filter

cs.CV20223 cited

Geo-Information Harvesting from Social Media Data

Xiao Xiang Zhu, Yuanyuan Wang, Mrinalini Kochupillai +9

As unconventional sources of geo-information, massive imagery and text messages from open platforms and social media form a temporally quasi-seamless, spatially multi-perspective s…

cs.CV20221 cited

Revisiting Near/Remote Sensing with Geospatial Attention

Scott Workman, M. Usman Rafique, Hunter Blanton +1

This work addresses the task of overhead image segmentation when auxiliary ground-level images are available. Recent work has shown that performing joint inference over these two m…

cs.CV20213 cited

Dynamic Feature Alignment for Semi-supervised Domain Adaptation

Yu Zhang, Gongbo Liang, Nathan Jacobs

Most research on domain adaptation has focused on the purely unsupervised setting, where no labeled examples in the target domain are available. However, in many real-world scenari…

cs.CV2021

Intensity Harmonization for Airborne LiDAR

David Jones, Nathan Jacobs

Constructing a point cloud for a large geographic region, such as a state or country, can require multiple years of effort. Often several vendors will be used to acquire LiDAR data…

cs.CV202183 cited

Towards a Collective Agenda on AI for Earth Science Data Analysis

Devis Tuia, Ribana Roscher, Jan Dirk Wegner +3

In the last years we have witnessed the fields of geosciences and remote sensing and artificial intelligence to become closer. Thanks to both the massive availability of observatio…

cs.CV2020

Learning a Dynamic Map of Visual Appearance

Tawfiq Salem, Scott Workman, Nathan Jacobs

The appearance of the world varies dramatically not only from place to place but also from hour to hour and month to month. Every day billions of images capture this complex relati…