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Proceedings Paper

The analysis on the relation between the compression method and the performance enhancement of MSC (Multi-Spectral Camera) image data
Author(s): Sang-Soon Yong; Sung-Woong Ra
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Paper Abstract

Multi-Spectral Camera(MSC) is a main payload on the KOMPSAT-2 satellite to perform the earth remote sensing. The MSC instrument has one(1) channel for panchromatic imaging and four(4) channel for multi-spectral imaging covering the spectral range from 450nm to 900nm using TDI CCD Focal Plane Array (FPA). The instrument images the earth using a push-broom motion with a swath width of 15 km and a ground sample distance (GSD) of 1 m over the entire field of view (FOV) at altitude 685 Km. The instrument is designed to have an on-orbit operation duty cycle of 20% over the mission lifetime of 3 years with the functions of programmable gain/ offset and on-board image data compression/ storage. The compression method on KOMPSAT-2 MSC was selected and used to match EOS input rate and PDTS output data rate on MSC image data chain. At once the MSC performance was carefully handled to minimize any degradation so that it was analyzed and restored in KGS(KOMPSAT Ground Station) during LEOP and Cal./Val.(Calibration and Validation) phase. In this paper, on-orbit image data chain in MSC and image data processing on KGS including general MSC description is briefly described. The influences on image performance between on-board compression algorithms and between performance restoration methods in ground station are analyzed, and the relation between both methods is to be analyzed and discussed.

Paper Details

Date Published: 26 October 2007
PDF: 8 pages
Proc. SPIE 6744, Sensors, Systems, and Next-Generation Satellites XI, 67441Z (26 October 2007); doi: 10.1117/12.740068
Show Author Affiliations
Sang-Soon Yong, Korea Aerospace Research Institute (South Korea)
Sung-Woong Ra, Chungnam National Univ. (South Korea)


Published in SPIE Proceedings Vol. 6744:
Sensors, Systems, and Next-Generation Satellites XI
Shahid Habib; Roland Meynart; Steven P. Neeck; Haruhisa Shimoda, Editor(s)

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