Paper
23 September 1993 Toward an autonomous feature-based pointing system for planetary missions
Gabriel Udomkesmalee, George E. Sevaston, Richard H. Stanton
Author Affiliations +
Abstract
Although the analytical groundwork for understanding two-dimensional object images and various aspects of computer vision has been laid, we have not yet applied these concepts to automating the process of obtaining science images during space exploration missions. Our current approach in specifying pointing-command sequences relies heavily on target predicts, based on predicted target and spacecraft ephemerides, that propagate the target position as a function of time during pointing operations. However, because the actual position of the target is never measured on board, the tracking loop must be closed through the ground processing operation. This round-trip communication-time limit can place severe limits on pointing accuracy, particularly during brief moments of closest approach. In this paper, we formulate and outline autonomous feature-based pointing requirements that can support a wide range of space science missions. The issues addressed include target-position estimation; acquisition and tracking of unresolved, partially viewed, and close-up targets; operation, and validation of point designs. Detailed algorithms and test results based on Voyager image data are also presented.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gabriel Udomkesmalee, George E. Sevaston, and Richard H. Stanton "Toward an autonomous feature-based pointing system for planetary missions", Proc. SPIE 1949, Space Guidance, Control, and Tracking, (23 September 1993); https://doi.org/10.1117/12.157074
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CITATIONS
Cited by 6 scholarly publications and 1 patent.
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KEYWORDS
Space operations

Stars

Image processing

Feature extraction

Detection and tracking algorithms

Target recognition

Algorithm development

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