Automatic GCP creation for NOAA AVHRR image Geometric correction

Masanori Nakano; Kazi A. Kalpoma; Jun-Ichi Kudoh

Automatic GCP creation for NOAA AVHRR image Geometric correction

Masanori Nakano, Kazi A. Kalpoma, Jun-Ichi Kudoh

東北アジア研究センター・基礎研究部門

研究成果: Paper › 査読

12 被引用数 (Scopus)

抄録

Geometric correction methods for NOAA AVHRR image include the GCP (Ground control point). Recently, many discussions about the accuracy of geometric correction have been held and many high accuracy geometric correction algorithms for NOAA AVHRR images have been proposed [1][2]. However, they are not suitable for the time series analysis that processes a large amount of image because they need the manual procedures for the creation of GCP. In this research, we paid attention to this point and developed the completely automatic GCP creation method. The processing time of this method was about 1 second. So, it was confirmed that GCP was generated at very high speed.

本文言語	English
ページ	3733-3735
ページ数	3
出版ステータス	Published - 2004 12月 1
イベント	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States 継続期間: 2004 9月 20 → 2004 9月 24

Other

Other	2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
国/地域	United States
City	Anchorage, AK
Period	04/9/20 → 04/9/24

ASJC Scopus subject areas

コンピュータサイエンスの応用
地球惑星科学（全般）

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引用スタイル

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title = "Automatic GCP creation for NOAA AVHRR image Geometric correction",

abstract = "Geometric correction methods for NOAA AVHRR image include the GCP (Ground control point). Recently, many discussions about the accuracy of geometric correction have been held and many high accuracy geometric correction algorithms for NOAA AVHRR images have been proposed [1][2]. However, they are not suitable for the time series analysis that processes a large amount of image because they need the manual procedures for the creation of GCP. In this research, we paid attention to this point and developed the completely automatic GCP creation method. The processing time of this method was about 1 second. So, it was confirmed that GCP was generated at very high speed.",

keywords = "Geometric correction, NOAA AVHRR, Time series analysis",

author = "Masanori Nakano and Kalpoma, {Kazi A.} and Jun-Ichi Kudoh",

year = "2004",

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language = "English",

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T1 - Automatic GCP creation for NOAA AVHRR image Geometric correction

AU - Nakano, Masanori

AU - Kalpoma, Kazi A.

AU - Kudoh, Jun-Ichi

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Y1 - 2004/12/1

N2 - Geometric correction methods for NOAA AVHRR image include the GCP (Ground control point). Recently, many discussions about the accuracy of geometric correction have been held and many high accuracy geometric correction algorithms for NOAA AVHRR images have been proposed [1][2]. However, they are not suitable for the time series analysis that processes a large amount of image because they need the manual procedures for the creation of GCP. In this research, we paid attention to this point and developed the completely automatic GCP creation method. The processing time of this method was about 1 second. So, it was confirmed that GCP was generated at very high speed.

AB - Geometric correction methods for NOAA AVHRR image include the GCP (Ground control point). Recently, many discussions about the accuracy of geometric correction have been held and many high accuracy geometric correction algorithms for NOAA AVHRR images have been proposed [1][2]. However, they are not suitable for the time series analysis that processes a large amount of image because they need the manual procedures for the creation of GCP. In this research, we paid attention to this point and developed the completely automatic GCP creation method. The processing time of this method was about 1 second. So, it was confirmed that GCP was generated at very high speed.

KW - Geometric correction

KW - NOAA AVHRR

KW - Time series analysis

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T2 - 2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004

Y2 - 20 September 2004 through 24 September 2004

ER -

Automatic GCP creation for NOAA AVHRR image Geometric correction

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Other

ASJC Scopus subject areas

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