This paper describes the Automated Registration Evaluation System (ARES). The goal of the ARES is to dramatically reduce the cost of evaluating different automated data (raster and/or vector) registration technologies. Under the first year of the ARES project,five different automated registration methods were selected for evaluation. These methods represented the state-of-the-art in automated image-to-image registration and image-to-3D feature registration. During the first year of testing, over two terabytes of commercial imagery and GIS feature (vector) data were acquired. ARES performed over 4000 individual registration test cases among the five different automated registration methods. ARES was able to ascertain the operating conditions and performance of each of these methods against a wide range of user requirements. Results from ARES suggest that automated image-to-image matching for near-nadir satellite imagery (with good initial approximations) is essentially a solved research problem, whereas feature-to-image matching is not.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automated Registration Evaluation System (ARES)


    Contributors:


    Publication date :

    2007-10-01


    Size :

    286645 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Automated Reliability Expert System - ARES

    ETZL, JULIUS / BRANDAU, RICHARD / FISCHER, CHARLES et al. | AIAA | 1987


    Ares I Ares V Overview

    P. Sumrall | NTIS | 2009


    Ares I Ares V Overview

    Sumrall, Phil | NTRS | 2009


    Automated readiness evaluation system (ARES) for use with an unmanned aircraft system (UAS)

    WELLER ERRIN T / FRANKLIN JEFFREY B | European Patent Office | 2018

    Free access

    AUTOMATED READINESS EVALUATION SYSTEM (ARES) FOR USE WITH AN UNMANNED AIRCRAFT SYSTEM (UAS)

    WELLER ERRIN T / FRANKLIN JEFFREY B | European Patent Office | 2017

    Free access