Image processing for near earth object optical guidance systems

TY - JOUR

T1 - Image processing for near earth object optical guidance systems

AU - Rowell, N.

AU - Parkes, S.

AU - Dunstan, M.

N1 - Copyright 2013 Elsevier B.V., All rights reserved.

PY - 2013

Y1 - 2013

N2 - A feature tracking algorithm is described, which is designed to support optical navigation of autonomous spacecraft. The algorithm is based on an existing system designed for use in planetary entry, descent, and landing (EDL) scenarios and includes several extra processing steps aimed at improving the performance. The algorithm is tested against the original by processing synthetic image streams of an asteroid and a lunar-type surface, taking care to use realistic surface reflectance models. The tracked features are processed to extract estimates of the camera motion between frames, and the results are compared with the ground truth to assess the robustness and accuracy of the feature tracking.

AB - A feature tracking algorithm is described, which is designed to support optical navigation of autonomous spacecraft. The algorithm is based on an existing system designed for use in planetary entry, descent, and landing (EDL) scenarios and includes several extra processing steps aimed at improving the performance. The algorithm is tested against the original by processing synthetic image streams of an asteroid and a lunar-type surface, taking care to use realistic surface reflectance models. The tracked features are processed to extract estimates of the camera motion between frames, and the results are compared with the ground truth to assess the robustness and accuracy of the feature tracking.

UR - https://www.scopus.com/pages/publications/84876129340

U2 - 10.1109/TAES.2013.6494399

DO - 10.1109/TAES.2013.6494399

M3 - Article

AN - SCOPUS:84876129340

VL - 49

SP - 1057

EP - 1072

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 2

ER -