In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation

Eunsong Oh, Sug Whan Kim, Yukyeong Jeong, Soomin Jeong, Dongok Ryu, Seongick Cho, Joo Hyung Ryu, Yu Hwan Ahn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Geostationary Ocean Color Imager(GOCI) is one of three payloads on board the Communication, Ocean, and Meteorological Satellite(COMS) launched 27th, June, 2010. For understanding GOCI imaging performance, we constructed the Integrated Ray Tracing model consisting of the Sun model as a light source, a target Earth model, and the GOCI optical system model. We then combined them in Monte Carlo based ray tracing computation. Light travels from the Sun and it is then reflected from the Earth section of roughly 2500km * 2500km in size around the Korea peninsula with 40km in spatial resolution. It is then fed into the instrument before reaching to the detector plane. Trial simulation runs for the GOCI imaging performance were focused on the combined slot images and MTF. First, we used modified pointing mirror mechanism to acquire the slot images, and then mosaiced them. Their image performance from the GOCI measurement were compared to the ray tracing simulation results. Second, we investigated GOCI in-orbit MTF performance with the slanted knife edge method applied to an East coastline image of the Korea peninsula covering from 38.04N, 128.40E to 38.01N, 128.43E. The ray tracing simulation results showed 0.34 in MTF mean for near IR band image while the GOCI image obtained 9th Sep, 2010 and 15th Sep, 2010, were used to produce 0.34 at Nyquist frequency in MTF. This study results prove that the GOCI image performance is well within the target performance requirement, and that the IRT end-to-end simulation technique introduced here can be applicable for high accuracy simulation of in-orbit performances of GOCI and of other earth observing satellite instruments.

Original languageEnglish
Title of host publicationRemote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011
Volume8175
DOIs
Publication statusPublished - 2011 Nov 17
EventRemote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011 - Prague, Czech Republic
Duration: 2011 Sep 212011 Sep 22

Other

OtherRemote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011
CountryCzech Republic
CityPrague
Period11/9/2111/9/22

Fingerprint

Ocean Color
Ray Tracing
Ray tracing
Imager
ray tracing
Image sensors
oceans
Orbits
Orbit
Color
orbits
color
modulation transfer function
Simulation
simulation
Earth (planet)
Korea
Sun
peninsulas
slots

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Cite this

Oh, E., Kim, S. W., Jeong, Y., Jeong, S., Ryu, D., Cho, S., ... Ahn, Y. H. (2011). In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation. In Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011 (Vol. 8175). [1] https://doi.org/10.1117/12.897989
Oh, Eunsong ; Kim, Sug Whan ; Jeong, Yukyeong ; Jeong, Soomin ; Ryu, Dongok ; Cho, Seongick ; Ryu, Joo Hyung ; Ahn, Yu Hwan. / In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation. Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011. Vol. 8175 2011.
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title = "In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation",
abstract = "Geostationary Ocean Color Imager(GOCI) is one of three payloads on board the Communication, Ocean, and Meteorological Satellite(COMS) launched 27th, June, 2010. For understanding GOCI imaging performance, we constructed the Integrated Ray Tracing model consisting of the Sun model as a light source, a target Earth model, and the GOCI optical system model. We then combined them in Monte Carlo based ray tracing computation. Light travels from the Sun and it is then reflected from the Earth section of roughly 2500km * 2500km in size around the Korea peninsula with 40km in spatial resolution. It is then fed into the instrument before reaching to the detector plane. Trial simulation runs for the GOCI imaging performance were focused on the combined slot images and MTF. First, we used modified pointing mirror mechanism to acquire the slot images, and then mosaiced them. Their image performance from the GOCI measurement were compared to the ray tracing simulation results. Second, we investigated GOCI in-orbit MTF performance with the slanted knife edge method applied to an East coastline image of the Korea peninsula covering from 38.04N, 128.40E to 38.01N, 128.43E. The ray tracing simulation results showed 0.34 in MTF mean for near IR band image while the GOCI image obtained 9th Sep, 2010 and 15th Sep, 2010, were used to produce 0.34 at Nyquist frequency in MTF. This study results prove that the GOCI image performance is well within the target performance requirement, and that the IRT end-to-end simulation technique introduced here can be applicable for high accuracy simulation of in-orbit performances of GOCI and of other earth observing satellite instruments.",
author = "Eunsong Oh and Kim, {Sug Whan} and Yukyeong Jeong and Soomin Jeong and Dongok Ryu and Seongick Cho and Ryu, {Joo Hyung} and Ahn, {Yu Hwan}",
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Oh, E, Kim, SW, Jeong, Y, Jeong, S, Ryu, D, Cho, S, Ryu, JH & Ahn, YH 2011, In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation. in Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011. vol. 8175, 1, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, Prague, Czech Republic, 11/9/21. https://doi.org/10.1117/12.897989

In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation. / Oh, Eunsong; Kim, Sug Whan; Jeong, Yukyeong; Jeong, Soomin; Ryu, Dongok; Cho, Seongick; Ryu, Joo Hyung; Ahn, Yu Hwan.

Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011. Vol. 8175 2011. 1.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation

AU - Oh, Eunsong

AU - Kim, Sug Whan

AU - Jeong, Yukyeong

AU - Jeong, Soomin

AU - Ryu, Dongok

AU - Cho, Seongick

AU - Ryu, Joo Hyung

AU - Ahn, Yu Hwan

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N2 - Geostationary Ocean Color Imager(GOCI) is one of three payloads on board the Communication, Ocean, and Meteorological Satellite(COMS) launched 27th, June, 2010. For understanding GOCI imaging performance, we constructed the Integrated Ray Tracing model consisting of the Sun model as a light source, a target Earth model, and the GOCI optical system model. We then combined them in Monte Carlo based ray tracing computation. Light travels from the Sun and it is then reflected from the Earth section of roughly 2500km * 2500km in size around the Korea peninsula with 40km in spatial resolution. It is then fed into the instrument before reaching to the detector plane. Trial simulation runs for the GOCI imaging performance were focused on the combined slot images and MTF. First, we used modified pointing mirror mechanism to acquire the slot images, and then mosaiced them. Their image performance from the GOCI measurement were compared to the ray tracing simulation results. Second, we investigated GOCI in-orbit MTF performance with the slanted knife edge method applied to an East coastline image of the Korea peninsula covering from 38.04N, 128.40E to 38.01N, 128.43E. The ray tracing simulation results showed 0.34 in MTF mean for near IR band image while the GOCI image obtained 9th Sep, 2010 and 15th Sep, 2010, were used to produce 0.34 at Nyquist frequency in MTF. This study results prove that the GOCI image performance is well within the target performance requirement, and that the IRT end-to-end simulation technique introduced here can be applicable for high accuracy simulation of in-orbit performances of GOCI and of other earth observing satellite instruments.

AB - Geostationary Ocean Color Imager(GOCI) is one of three payloads on board the Communication, Ocean, and Meteorological Satellite(COMS) launched 27th, June, 2010. For understanding GOCI imaging performance, we constructed the Integrated Ray Tracing model consisting of the Sun model as a light source, a target Earth model, and the GOCI optical system model. We then combined them in Monte Carlo based ray tracing computation. Light travels from the Sun and it is then reflected from the Earth section of roughly 2500km * 2500km in size around the Korea peninsula with 40km in spatial resolution. It is then fed into the instrument before reaching to the detector plane. Trial simulation runs for the GOCI imaging performance were focused on the combined slot images and MTF. First, we used modified pointing mirror mechanism to acquire the slot images, and then mosaiced them. Their image performance from the GOCI measurement were compared to the ray tracing simulation results. Second, we investigated GOCI in-orbit MTF performance with the slanted knife edge method applied to an East coastline image of the Korea peninsula covering from 38.04N, 128.40E to 38.01N, 128.43E. The ray tracing simulation results showed 0.34 in MTF mean for near IR band image while the GOCI image obtained 9th Sep, 2010 and 15th Sep, 2010, were used to produce 0.34 at Nyquist frequency in MTF. This study results prove that the GOCI image performance is well within the target performance requirement, and that the IRT end-to-end simulation technique introduced here can be applicable for high accuracy simulation of in-orbit performances of GOCI and of other earth observing satellite instruments.

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ER -

Oh E, Kim SW, Jeong Y, Jeong S, Ryu D, Cho S et al. In-orbit image performance simulation for GOCI from Integrated Ray Tracing computation. In Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011. Vol. 8175. 2011. 1 https://doi.org/10.1117/12.897989