Error correction for noaa avhrr data using reference data

An Van Ngoc, Yoshimitsu Aoki

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

Abstract

This paper describes a method that corrects the missing lines and the random noise pixels in NOAA images. NOAA images with the same orbit are received at various stations and overlap each other. To correct the errors in an original image, the other images, which overlap the original one, are referred. After specifying the overlapping area, missing lines are detected by checking time codes, and they are corrected by replacing with the corresponding lines from the reference data. Random noise pixels are recognized based on PN codes and the differences between their values and those of their neighbors. They are removed by assigning the new values from the reference data or their neighbors. This method was used to correct the NOAA images receiving at Tokyo by referring to the images from Bangkok and Ulaanbaatar. After correction, all errors were removed. The correcting time was less than 35 seconds per image.

Original languageEnglish
Title of host publicationAsian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006
Pages314-319
Number of pages6
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event27th Asian Conference on Remote Sensing, ACRS 2006 - Ulaanbaatar, Mongolia
Duration: 2006 Oct 92006 Oct 13

Publication series

NameAsian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006

Other

Other27th Asian Conference on Remote Sensing, ACRS 2006
CountryMongolia
CityUlaanbaatar
Period06/10/906/10/13

Keywords

  • Error correction
  • Missing line
  • NOAA AVHRR
  • Random noise
  • Reference data

ASJC Scopus subject areas

  • Computer Networks and Communications

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  • Cite this

    Van Ngoc, A., & Aoki, Y. (2006). Error correction for noaa avhrr data using reference data. In Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006 (pp. 314-319). (Asian Association on Remote Sensing - 27th Asian Conference on Remote Sensing, ACRS 2006).