Three-dimensional orientation vector estimation from satellite imagery

Details Three-dimensional orientation vector estimation from satellite imagery Three-dimensional orientation vector estimation from satellite imagery

Jun 1996

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1996spie.2755..472z&link_type=abstract

Proc. SPIE Vol. 2755, p. 472-483, Signal Processing, Sensor Fusion, and Target Recognition V, Ivan Kadar; Vibeke Libby; Eds.

Mathematics

Probability

2

Scientific paper

Extracting satellite solar-array and main-body orientation vector information from optical imagery is an integral part of space object identification analysis. We describe a model-based image analysis system which automatically estimates the 3-D orientation vector of satellites by analyzing images obtained from ground-based optical telescopes. We adopt a two-step approach. First, pose estimates are derived from comparisons with a model database, and second, pose refinements are derived from photogrammetric information. The model database is formed by representing each available training image by a set of derived geometric primitives. To obtain fast access to the model database and to increase the probability of early successful matching, a novel indexing method is introduced. We present our preliminary results, evaluate the overall performance of the technique, and suggest improvements.

Affiliated with

Also associated with

No associations

Rating

Three-dimensional orientation vector estimation from satellite imagery does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Three-dimensional orientation vector estimation from satellite imagery, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Three-dimensional orientation vector estimation from satellite imagery will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1304995