  In order to facilitate further research in stereo reconstruction with
multi-date satellite images, the goal of this paper is to provide a set of
stereo-rectified images and the associated groundtruthed disparities for 10
AOIs (Area of Interest) drawn from two sources: 8 AOIs from IARPA's MVS
Challenge dataset and 2 AOIs from the CORE3D-Public dataset. The disparities
were groundtruthed by first constructing a fused DSM from the stereo pairs and
by aligning 30 cm LiDAR with the fused DSM. Unlike the existing benckmarking
datasets, we have also carried out a quantitative evaluation of our
groundtruthed disparities using human annotated points in two of the AOIs.
Additionally, the rectification accuracy in our dataset is comparable to the
same in the existing state-of-the-art stereo datasets. In general, we have used
the WorldView-3 (WV3) images for the dataset, the exception being the UCSD area
for which we have used both WV3 and WorldView-2 (WV2) images. All of the
dataset images are now in the public domain. Since multi-date satellite images
frequently include images acquired in different seasons (which creates
challenges in finding corresponding pairs of pixels for stereo), our dataset
also includes for each image a building mask over which the disparities
estimated by stereo should prove reliable. Additional metadata included in the
dataset includes information about each image's acquisition date and time, the
azimuth and elevation angles of the camera, and the intersection angles for the
two views in a stereo pair. Also included in the dataset are both quantitative
and qualitative analyses of the accuracy of the groundtruthed disparity maps.
Our dataset is available for download at
\url{https://engineering.purdue.edu/RVL/Database/SatStereo/index.html}
