Aerospace 2015, 2(3), 435-460; doi:10.3390/aerospace2030435
Position Estimation Using the Image Derivative†
1
Aerospace Engineering, Texas A&M University, College Station, TX 77843, USA
2
Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin, Austin, TX 78712, USA
3
NASA Johnson Space Center, Houston, TX 77058, USA
†
This paper is an extended version of our paper published in 25th AAS/AIAA Space Flight Mechanics Meeting, Williamsburg, VA, USA, 11–15 January 2015 .
*
Author to whom correspondence should be addressed.
Academic Editor: Konstantinos Kontis
Received: 19 March 2015 / Revised: 18 June 2015 / Accepted: 18 June 2015 / Published: 3 July 2015
(This article belongs to the Special Issue Driving Forward Aerospace Innovation)
Abstract
This article describes an image processing algorithm to identify the size and shape of a spherical reflecting celestial body prominently depicted in images taken from a spacecraft with an optical camera, with the purpose of estimating the relative distance between target and observer in magnitude and direction. The approach is based on the fact that in such images, the pixels belonging to the target’s hard edge have the highest values of the image derivative; therefore, they are easily recognizable when the image is processed with a gradient filter. Eventual extraneous points polluting the dataset (outliers) are eliminated by two methods applied in sequence. The target center and radius are estimated by non-linear least squares using circular sigmoid functions. The proposed image processing has been applied to real and synthetic Moon images. An error analysis is also performed to determine the performance of the proposed method. View Full-TextKeywords:
navigation; image processing; autonomy
▼
Figures
Figure 1
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Mortari, D.; de Dilectis, F.; Zanetti, R. Position Estimation Using the Image Derivative. Aerospace 2015, 2, 435-460.
Related Articles
Article Metrics
Comments
[Return to top]
Aerospace
EISSN 2226-4310
Published by MDPI AG, Basel, Switzerland
RSS
E-Mail Table of Contents Alert