NOAA/AVHRR画像の自動GCP生成

概要

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Time series analysis is one of the important methods for understanding the change of phenomenon. But, the geographical gaps are generally included among satellite image. Therefore, geometric correction of these gaps is needed. Up to now, many discussions about the accuracy of geometric correction have been held and many geometric correction algorithms about NOAA/AVHRR images have been proposed. However, most of them use GCP (ground control point) where a user is required to specify GCP by hand. In this research, special attention is given to this point and automatic GCP creation method is proposed. Required inputs of this method are only an AVHRR image and a digital map. First, a binary image which expresses land and a water area is created by calculating NDVI of an AVHRR image, Next, the boundary of land and a water area is detected from the binary image, and GCP are created from the binary image. Finally, the boundary of AVHRR image and GCP are compared and the AVHRR image is executed geometric correction used the result. No manual process is needed by this proposed method. Therefore, processing time is shortened and a user's labor is mitigated. The result of the geometric correction algorithm using this proposed method shows the mean errors are less than 1 pixel.論文Article
東北大学の論文
2005-03-28