Title:
Fuzzy Image Processing in Sun Sensor
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 |
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