The IARPA WRIVA program aims to develop software systems that can create photorealistic, navigable 3D site models using a highly limited corpus of imagery, to include ground level imagery, surveillance height imagery, airborne altitude imagery, and satellite imagery. Additionally, where imagery lacks metadata indicating geolocation, information about camera parameters, or is corrupted by artifacts, WRIVA seeks to detect and correct these factors to incorporate the imagery in site-modelling and other downstream image processing and analysis algorithms.

DOI Link: 
10.21227/cjk5-gf33
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[1] Myron Brown, Michael Chan, Michael Twardowski, "WRIVA Public Data", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/cjk5-gf33. Accessed: Feb. 04, 2025.
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doi = {10.21227/cjk5-gf33},
url = {http://dx.doi.org/10.21227/cjk5-gf33},
author = {Myron Brown; Michael Chan; Michael Twardowski },
publisher = {IEEE Dataport},
title = {WRIVA Public Data},
year = {2024} }
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T1 - WRIVA Public Data
AU - Myron Brown; Michael Chan; Michael Twardowski
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Myron Brown, Michael Chan, Michael Twardowski. (2024). WRIVA Public Data. IEEE Dataport. http://dx.doi.org/10.21227/cjk5-gf33
Myron Brown, Michael Chan, Michael Twardowski, 2024. WRIVA Public Data. Available at: http://dx.doi.org/10.21227/cjk5-gf33.
Myron Brown, Michael Chan, Michael Twardowski. (2024). "WRIVA Public Data." Web.
1. Myron Brown, Michael Chan, Michael Twardowski. WRIVA Public Data [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/cjk5-gf33
Myron Brown, Michael Chan, Michael Twardowski. "WRIVA Public Data." doi: 10.21227/cjk5-gf33