Paper
12 June 1995 Detection of planetary terrain features
Gabriel Udomkesmalee, Luisa DeAntonio
Author Affiliations +
Abstract
A particular aspect of autonomous target tracking for planetary bodies, detection of `distinct' features appearing in the scene, is addressed. Using the gray level cooccurrence (GLC) matrices, object detection is done by applying measures (metrics) defined on GLC matrices to different regions on the image plane. The decision logic for detecting `unique' features can then be implemented using a supervised or unsupervised parametric method on a set of GLC- metric measurements. Detailed algorithms and test results based on Voyager image data are presented.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gabriel Udomkesmalee and Luisa DeAntonio "Detection of planetary terrain features", Proc. SPIE 2466, Space Guidance, Control, and Tracking II, (12 June 1995); https://doi.org/10.1117/12.211507
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Cited by 1 scholarly publication.
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KEYWORDS
Matrices

Jupiter

Target detection

Logic

Multispectral imaging

Space operations

Aerospace engineering

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