High accurate geometric correction for noaa avhrr data considering the impact of elevation on error

An Ngoc Van, Mitsuru Nakazawa, Yoshimitsu Aoki

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

Abstract

NOAA images have been provided very useful environmental information from all over the world. In order to use NOAA images, they need to be transformed from image into map. This paper proposes a method that corrects the errors caused by this transformation. First, elevation errors are calculated and corrected based on elevation values, which are read from GTOPO30 database. These elevation values are also verified to divide data into flat and rough blocks. Next, GCP template matching is used to calculate the residual errors for the blocks that match GCP templates. Reference data is referred in case the number of GCP templates is not enough. Based on the blocks which match GCP templates, the residual errors of other flat and rough blocks are calculated by Affine and Radial Basic Function transformation respectively. According to residual errors, all points in the image are moved to their correct positions. Finally, data is transformed from image into map by bilinear interpolation. With proposed method, because the relationship between the error and the variation of elevation is controlled better, residual errors are corrected more accurately and the errors of bilinear interpolation are smaller. As a result, the error after correction is considerably reduced. This method was applied to correct the errors for NOAA images receiving in Tokyo, Bangkok and Ulaanbaatar. The results proved that this is a high accurate geometric correction method.

Original languageEnglish
Title of host publication28th Asian Conference on Remote Sensing 2007, ACRS 2007
Pages1975-1980
Number of pages6
Volume3
Publication statusPublished - 2007
Externally publishedYes
Event28th Asian Conference on Remote Sensing 2007, ACRS 2007 - Kuala Lumpur, Malaysia
Duration: 2007 Nov 122007 Nov 16

Other

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

Fingerprint

Interpolation
Template matching

Keywords

  • Elevation effect
  • GCP template
  • Geometric correction
  • NOAA AVHRR

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Van, A. N., Nakazawa, M., & Aoki, Y. (2007). High accurate geometric correction for noaa avhrr data considering the impact of elevation on error. In 28th Asian Conference on Remote Sensing 2007, ACRS 2007 (Vol. 3, pp. 1975-1980)

High accurate geometric correction for noaa avhrr data considering the impact of elevation on error. / Van, An Ngoc; Nakazawa, Mitsuru; Aoki, Yoshimitsu.

28th Asian Conference on Remote Sensing 2007, ACRS 2007. Vol. 3 2007. p. 1975-1980.

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

Van, AN, Nakazawa, M & Aoki, Y 2007, High accurate geometric correction for noaa avhrr data considering the impact of elevation on error. in 28th Asian Conference on Remote Sensing 2007, ACRS 2007. vol. 3, pp. 1975-1980, 28th Asian Conference on Remote Sensing 2007, ACRS 2007, Kuala Lumpur, Malaysia, 07/11/12.
Van AN, Nakazawa M, Aoki Y. High accurate geometric correction for noaa avhrr data considering the impact of elevation on error. In 28th Asian Conference on Remote Sensing 2007, ACRS 2007. Vol. 3. 2007. p. 1975-1980
Van, An Ngoc ; Nakazawa, Mitsuru ; Aoki, Yoshimitsu. / High accurate geometric correction for noaa avhrr data considering the impact of elevation on error. 28th Asian Conference on Remote Sensing 2007, ACRS 2007. Vol. 3 2007. pp. 1975-1980
@inproceedings{6aaec70e66e14e9fa271c96fc2b69a00,
title = "High accurate geometric correction for noaa avhrr data considering the impact of elevation on error",
abstract = "NOAA images have been provided very useful environmental information from all over the world. In order to use NOAA images, they need to be transformed from image into map. This paper proposes a method that corrects the errors caused by this transformation. First, elevation errors are calculated and corrected based on elevation values, which are read from GTOPO30 database. These elevation values are also verified to divide data into flat and rough blocks. Next, GCP template matching is used to calculate the residual errors for the blocks that match GCP templates. Reference data is referred in case the number of GCP templates is not enough. Based on the blocks which match GCP templates, the residual errors of other flat and rough blocks are calculated by Affine and Radial Basic Function transformation respectively. According to residual errors, all points in the image are moved to their correct positions. Finally, data is transformed from image into map by bilinear interpolation. With proposed method, because the relationship between the error and the variation of elevation is controlled better, residual errors are corrected more accurately and the errors of bilinear interpolation are smaller. As a result, the error after correction is considerably reduced. This method was applied to correct the errors for NOAA images receiving in Tokyo, Bangkok and Ulaanbaatar. The results proved that this is a high accurate geometric correction method.",
keywords = "Elevation effect, GCP template, Geometric correction, NOAA AVHRR",
author = "Van, {An Ngoc} and Mitsuru Nakazawa and Yoshimitsu Aoki",
year = "2007",
language = "English",
isbn = "9781615673650",
volume = "3",
pages = "1975--1980",
booktitle = "28th Asian Conference on Remote Sensing 2007, ACRS 2007",

}

TY - GEN

T1 - High accurate geometric correction for noaa avhrr data considering the impact of elevation on error

AU - Van, An Ngoc

AU - Nakazawa, Mitsuru

AU - Aoki, Yoshimitsu

PY - 2007

Y1 - 2007

N2 - NOAA images have been provided very useful environmental information from all over the world. In order to use NOAA images, they need to be transformed from image into map. This paper proposes a method that corrects the errors caused by this transformation. First, elevation errors are calculated and corrected based on elevation values, which are read from GTOPO30 database. These elevation values are also verified to divide data into flat and rough blocks. Next, GCP template matching is used to calculate the residual errors for the blocks that match GCP templates. Reference data is referred in case the number of GCP templates is not enough. Based on the blocks which match GCP templates, the residual errors of other flat and rough blocks are calculated by Affine and Radial Basic Function transformation respectively. According to residual errors, all points in the image are moved to their correct positions. Finally, data is transformed from image into map by bilinear interpolation. With proposed method, because the relationship between the error and the variation of elevation is controlled better, residual errors are corrected more accurately and the errors of bilinear interpolation are smaller. As a result, the error after correction is considerably reduced. This method was applied to correct the errors for NOAA images receiving in Tokyo, Bangkok and Ulaanbaatar. The results proved that this is a high accurate geometric correction method.

AB - NOAA images have been provided very useful environmental information from all over the world. In order to use NOAA images, they need to be transformed from image into map. This paper proposes a method that corrects the errors caused by this transformation. First, elevation errors are calculated and corrected based on elevation values, which are read from GTOPO30 database. These elevation values are also verified to divide data into flat and rough blocks. Next, GCP template matching is used to calculate the residual errors for the blocks that match GCP templates. Reference data is referred in case the number of GCP templates is not enough. Based on the blocks which match GCP templates, the residual errors of other flat and rough blocks are calculated by Affine and Radial Basic Function transformation respectively. According to residual errors, all points in the image are moved to their correct positions. Finally, data is transformed from image into map by bilinear interpolation. With proposed method, because the relationship between the error and the variation of elevation is controlled better, residual errors are corrected more accurately and the errors of bilinear interpolation are smaller. As a result, the error after correction is considerably reduced. This method was applied to correct the errors for NOAA images receiving in Tokyo, Bangkok and Ulaanbaatar. The results proved that this is a high accurate geometric correction method.

KW - Elevation effect

KW - GCP template

KW - Geometric correction

KW - NOAA AVHRR

UR - http://www.scopus.com/inward/record.url?scp=84865654630&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84865654630&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84865654630

SN - 9781615673650

VL - 3

SP - 1975

EP - 1980

BT - 28th Asian Conference on Remote Sensing 2007, ACRS 2007

ER -