A cloud area estimation method for GMS image

Hiroshi Hiranaka, An Ngoc Van, Yoshimitsu Aoki

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

Abstract

This paper proposes a method that estimates the position of clouds from VIS images (visible), and IR images (infrared) of GMS (Geostationary Meteorological Satellite). In VIS image, some images have incorrect data taken with extremely low brightness. In addition, estimating sunrise and sunset area are impossible because of the changes in the values of brightness with solar irradiance. In order to estimate the position of clouds from sunrise and sunset area, the brightness data of the image is corrected by Cosine law of illumination. Corrected value is calculated based on the solar irradiance of each area. In IR image, the brightness of equatorial area is different from that of Arctic Circle due to the atmospheric temperature. Brightness data of IR image is corrected by the number of the characteristics calculated by Least squares. This method was used to estimate the GMS images in Japan.

Original languageEnglish
Title of host publication28th Asian Conference on Remote Sensing 2007, ACRS 2007
Pages1571-1576
Number of pages6
Publication statusPublished - 2007 Dec 1
Event28th Asian Conference on Remote Sensing 2007, ACRS 2007 - Kuala Lumpur, Malaysia
Duration: 2007 Nov 122007 Nov 16

Publication series

Name28th Asian Conference on Remote Sensing 2007, ACRS 2007
Volume3

Other

Other28th Asian Conference on Remote Sensing 2007, ACRS 2007
CountryMalaysia
CityKuala Lumpur
Period07/11/1207/11/16

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Keywords

  • Area segmentation
  • Cloud area
  • GMS
  • M-Estimation

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Hiranaka, H., Van, A. N., & Aoki, Y. (2007). A cloud area estimation method for GMS image. In 28th Asian Conference on Remote Sensing 2007, ACRS 2007 (pp. 1571-1576). (28th Asian Conference on Remote Sensing 2007, ACRS 2007; Vol. 3).