Accurate geometric correction of NOAA AVHRR images: the coastline detection approach with respect to multispectral and spatial information

Author

Bin, Zhang ; Zhong, Zhu Zheng ; Shou, Wu You

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

2

fYear

1997

fDate

28-31 Oct 1997

Firstpage

1036

Abstract

This paper describes a simple, computationally inexpensive approach for automatically detecting coastline with respect to multispectral and spatial information in a NOAA AVHRR (Advanced Very High Resolution Radiometer) image. This approach is used to automatically identifying GCPs (Ground Control Points); and then, using these GCPs to implement accurate geometric correction of NOAA AVHRR images. Experimental results show that: with this coastline detection approach the accurate geometric correction of NOAA AVHRR images can achieve subpixel accuracy (less than 1 pixel)

Keywords

computational geometry; edge detection; geography; image registration; image resolution; image segmentation; radiometers; NOAA AVHRR images; accurate geometric correction; advanced very high resolution radiometer; coastline detection; ground control point identification; image registration; image segmentation; multispectral information; satellites; spatial information; Automatic control; Clouds; Earth; Image resolution; Image segmentation; Observatories; Pixel; Radiometry; Satellite broadcasting; Spatial resolution; Vegetation mapping;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.669133

Filename

669133