Title:
Fuzzy Image Processing in Sun Sensor

dc.contributor.author Mobasser, Sohrab en_US
dc.contributor.author Liebe, Carl Christian en_US
dc.contributor.author Howard, Ayanna M. en_US
dc.contributor.corporatename Jet Propulsion Laboratory (U.S.) en_US
dc.contributor.corporatename Georgia Institute of Technology. Center for Robotics and Intelligent Machines en_US
dc.date.accessioned 2011-03-25T20:18:53Z
dc.date.available 2011-03-25T20:18:53Z
dc.date.issued 2001-12
dc.description ©2001 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. en_US
dc.description Presented at the 10th IEEE International Conference on Fuzzy Systems, 2-5 December 2001, Melbourne, Australia. en_US
dc.description DOI: 10.1109/FUZZ.2001.1008905 en_US
dc.description.abstract Sun sensors are widely used in spacecraft attitude determination subsystems to provide a measurement of the Sun vector in spacecraft coordinates. At the Jet Propulsion Laboratory, California Institute of Technology, there is an ongoing research activity to utilize Micro Electro Mechanical Systems (MEMS) processes to develop a smaller and lighter Sun sensor for space applications. A prototype Sun sensor has been designed and constructed. It consists of a piece of silicon coated with a thin layer of chrome, and a layer of gold with hundreds of small pinholes, placed on top of an image detector at a distance of less than a millimeter. Images of the Sun are formed on the detector when the Sun illuminates the assembly. Software algorithms must be able to identify the individual pinholes on the image detector and calculate the angle to the Sun. Fuzzy image processing is utilized in this process. This paper describes how the fuzzy image processing is implemented in the instrument. Also, a camera pin hole model is constructed and used to evaluate the accuracy of the Sun sensor. en_US
dc.identifier.citation S. Mobasser, C.C. Liebe, A. Howard, “Fuzzy Image Processing in Sun Sensor,” 10th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Melbourne, Australia, Dec. 2001, 1337-1342. en_US
dc.identifier.doi 10.1109/FUZZ.2001.1008905
dc.identifier.isbn 0-7803-7293-X
dc.identifier.uri http://hdl.handle.net/1853/38293
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.publisher.original Institute of Electrical and Electronics Engineers en_US
dc.subject Sun sensor en_US
dc.subject Attitude control en_US
dc.subject Fuzzy image processing en_US
dc.subject Fuzzy logic en_US
dc.subject Image detector en_US
dc.subject Micro electromechanical systems en_US
dc.subject Spacecraft en_US
dc.title Fuzzy Image Processing in Sun Sensor en_US
dc.type Text
dc.type.genre Proceedings
dspace.entity.type Publication
local.contributor.author Howard, Ayanna M.
local.contributor.corporatename School of Civil and Environmental Engineering
local.contributor.corporatename Institute for Robotics and Intelligent Machines (IRIM)
relation.isAuthorOfPublication 6d77e175-105c-4b0b-9548-31f20e60e20a
relation.isOrgUnitOfPublication 88639fad-d3ae-4867-9e7a-7c9e6d2ecc7c
relation.isOrgUnitOfPublication 66259949-abfd-45c2-9dcc-5a6f2c013bcf
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
IEEE_2001_FUZZ_001.pdf
Size:
402.9 KB
Format:
Adobe Portable Document Format
Description: