Book contents
- Frontmatter
- Contents
- List of contributors
- Foreword by Jón A. Benediktsson
- Acknowledgements
- PART I The Importance of Image Registration for Remote Sensing
- PART II Similarity Metrics for Image Registration
- PART III Feature Matching and Strategies for Image Registration
- PART IV Applications and Operational Systems
- 14 Multitemporal and multisensor image registration
- 15 Georegistration of meteorological images
- 16 Challenges, solutions, and applications of accurate multiangle image registration: Lessons learned from MISR
- 17 Automated AVHRR image navigation
- 18 Landsat image geocorrection and registration
- 19 Automatic and precise orthorectification of SPOT images
- 20 Geometry of the VEGETATION sensor
- 21 Accurate MODIS global geolocation through automated ground control image matching
- 22 SeaWiFS operational geolocation assessment system
- PART V Conclusion
- Index
- Plate section
- Plate section
- References
20 - Geometry of the VEGETATION sensor
from PART IV - Applications and Operational Systems
Published online by Cambridge University Press: 03 May 2011
- Frontmatter
- Contents
- List of contributors
- Foreword by Jón A. Benediktsson
- Acknowledgements
- PART I The Importance of Image Registration for Remote Sensing
- PART II Similarity Metrics for Image Registration
- PART III Feature Matching and Strategies for Image Registration
- PART IV Applications and Operational Systems
- 14 Multitemporal and multisensor image registration
- 15 Georegistration of meteorological images
- 16 Challenges, solutions, and applications of accurate multiangle image registration: Lessons learned from MISR
- 17 Automated AVHRR image navigation
- 18 Landsat image geocorrection and registration
- 19 Automatic and precise orthorectification of SPOT images
- 20 Geometry of the VEGETATION sensor
- 21 Accurate MODIS global geolocation through automated ground control image matching
- 22 SeaWiFS operational geolocation assessment system
- PART V Conclusion
- Index
- Plate section
- Plate section
- References
Summary
Abstract
VEGETATION data are used mainly for multiple date applications. This implies high-accuracy geometric requirements, especially for multitemporal registration. To comply with these requirements, VEGETATION1 image location is improved by a systematic use of a database of ground control points (GCPs), based on VEGETATION1 chips extracted worldwide. Due to this systematic processing, VEGETATION1 has shown a very accurate and stable geometric performance, ever since its launch onboard SPOT-4 in March of 1998. VEGETATION2, launched onboard SPOT-5 in May of 2002, now complements VEGETATION1 for operational production. It was, therefore, essential to ensure geometric continuity between both sensors. Onboard SPOT-5, a stellar sensor provides high-accuracy satellite attitude, thus enabling high accuracy in the absolute image location. Consequently, it is not necessary to improve VEGETATION2 image geolocation using GCPs. However, it is necessary to perform a fine geometric calibration of VEGETATION2 cameras. This calibration is performed during the commissioning phase using GCPs from the VEGETATION1 database. The monitoring of VEGETATION2 has shown that due to this calibration its geometric performance became at least as accurate and stable as that of VEGETATION1, and that geometric continuity between both sensors was guaranteed. This chapter describes the VEGETATION1 and VEGETATION2 sensors, the method used to build the VEGETATION database of GCPs, as well as the operational method used to register VEGETATION data.
Introduction
The SPOT-4 (Satellite Pour l'Observation de la Terre 4) satellite, launched in March 1998, provides data continuity for high-resolution SPOT data users through its High Resolution in the Visible and Infra-Red (HRVIR) instruments.
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- Image Registration for Remote Sensing , pp. 426 - 436Publisher: Cambridge University PressPrint publication year: 2011