WRIVA Public Data

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. The Johns Hopkins University Applied Physics Laboratory (JHU/APL) and the MIT Lincoln Laboratory have collected, calibrated, and curated data to support the WRIVA program. JHU/APL and the MITRE Corporation have collaborated to develop challenge datasets designed to evaluate WRIVA systems against a broad range of program objectives. IARPA is making some of this data publicly available to enable reproducible public research.

IARPA的WRIVA项目旨在开发能够利用极其有限的图像资料库，包括地面图像、监控高度图像、空中高度图像以及卫星图像，创建逼真的、可导航的3D场地模型的软件系统。此外，针对图像缺乏地理定位元数据、相机参数信息或因碎片化而受损的情况，WRIVA致力于检测和纠正这些因素，以将图像纳入场地建模及其他后续图像处理和分析算法中。约翰霍普金斯大学应用物理实验室（JHU/APL）和麻省理工学院林肯实验室已收集、校准并整理数据，以支持WRIVA项目。JHU/APL与MITRE公司合作，开发了旨在评估WRIVA系统是否满足广泛项目目标的挑战性数据集。IARPA正将部分数据公开，以促进可重复的公共研究。