Vehicle Ground-Truth Database for the Vertical-View Ft. Hood Imagery

Ground-truthing the Vehicles in the Vertical-view Ft. Hood Images

Metric Evaluation Pipeline for 3d Modeling of Urban Scenes

Publicly available benchmark data and metric evaluation approaches have been instrumental in enabling research to advance state of the art methods for remote sensing applications in urban 3D modeling. Most publicly available benchmark datasets have consisted of high resolution airborne imagery and lidar suitable for 3D modeling on a relatively modest scale. To enable research in larger scale 3D...

Vehicle Detection and Orientation Estimation Using the Radon Transform

Determining the location and orientation of vehicles in satellite and airborne imagery is a challenging task given the density of cars and other vehicles as well as the complexity of the environment in urban regions around the world. We describe an accurate and flexible method for detecting vehicles using a template-based directional chamfer matching approach, and vehicle orientation estimation...

Overview of the UGV / Demo II Program

The UGV / Demo II program, begun in 1992, developed and matured those navigation and automatic target recognition technologies critical for the development of supervised, autonomous ground vehicles capable of performing military scout missions with a minimum of human oversight. The program culminated with a highly successful series of field exercises performed by soldiers at Ft. Hood, Texas ove...

Unresolved Target Detection Blind Test Project Overview

The development and testing of algorithms for unresolved target detection in hyperspectral imagery requires the availability of empirical imagery with adequate ground truth. However, target deployment and collection of imagery can be expensive, and the resulting data often have limited distribution due to concerns of a security or propriety nature. When data are made available, it is usually wi...