Highly accurate geometric correction for NOAA AVHRR data considering the feature of elevation and the feature of coastline

An Ngoc Van, Mitsuru Nakazawa, Yoshimitsu Aoki

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

3 Citations (Scopus)

Abstract

NOAA (National Oceanic and Atmospheric Administration) satellite images have been widely used for environmental and land cover monitoring. This paper proposes a geometrie correction method that corrects the geometric distortions in NOAA images. In this method, the errors in NQAA images are corrected in the image coordinate system before transforming into the map coordinate system. First, the variation of elevation is verified to divide data into flat and rough blocks, Next, in order to measure the distortions more precisely, more GCP (Ground Control Point) templates are generated based on the feature of the coastline and the elevation errors of these GCP templates are corrected. After using GCP template matching to specify the residual errors, Which are used to represent the distortions, affine transform and Radial Basis Function transform are used to correct the distortions on the flat and rough blocks, respectively. With the proposed method, the average values of the error after correction are smaller than 0.2 pixels on both latitude and longitude directions. This result proved that the proposed method is a highly accurate geometric Correction method.

Original languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2
Edition1
DOIs
Publication statusPublished - 2008
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: 2008 Jul 62008 Jul 11

Other

Other2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
CountryUnited States
CityBoston, MA
Period08/7/608/7/11

Fingerprint

Advanced very high resolution radiometers (AVHRR)
AVHRR
ground control
coast
Affine transforms
transform
Template matching
Pixels
Satellites
pixel
land cover
geometric correction
method
Monitoring
monitoring

Keywords

  • Coastline
  • Elevation
  • Geometrie correction
  • NOAA AVHRR
  • Satellite image

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Computer Science Applications

Cite this

Van, A. N., Nakazawa, M., & Aoki, Y. (2008). Highly accurate geometric correction for NOAA AVHRR data considering the feature of elevation and the feature of coastline. In International Geoscience and Remote Sensing Symposium (IGARSS) (1 ed., Vol. 2). [4779181] https://doi.org/10.1109/IGARSS.2008.4779181

Highly accurate geometric correction for NOAA AVHRR data considering the feature of elevation and the feature of coastline. / Van, An Ngoc; Nakazawa, Mitsuru; Aoki, Yoshimitsu.

International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2 1. ed. 2008. 4779181.

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

Van, AN, Nakazawa, M & Aoki, Y 2008, Highly accurate geometric correction for NOAA AVHRR data considering the feature of elevation and the feature of coastline. in International Geoscience and Remote Sensing Symposium (IGARSS). 1 edn, vol. 2, 4779181, 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, Boston, MA, United States, 08/7/6. https://doi.org/10.1109/IGARSS.2008.4779181
Van AN, Nakazawa M, Aoki Y. Highly accurate geometric correction for NOAA AVHRR data considering the feature of elevation and the feature of coastline. In International Geoscience and Remote Sensing Symposium (IGARSS). 1 ed. Vol. 2. 2008. 4779181 https://doi.org/10.1109/IGARSS.2008.4779181
Van, An Ngoc ; Nakazawa, Mitsuru ; Aoki, Yoshimitsu. / Highly accurate geometric correction for NOAA AVHRR data considering the feature of elevation and the feature of coastline. International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 2 1. ed. 2008.
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