Algorithm for Extracting Ground Control Points from NOAA-AVHRR Data

Abstract

National Oceanic and Atmospheric Administration (NOAA) and Advanced Very High Resolution Radiometer (AVHRR) data are available on a daily basis and have been frequently used for global observation. Geometric correction is very important as a preprocessing technique for long-term analysis or monitoring that makes use of the data. Ground control points (GCPs) are set to manually determine the geometric transform of the equation because 4-10 pixels of error can arise in the geometric correction based on only the system information. Therefore, we propose an algorithm that automatically extracts GCPs with information of run-length matrix and on adjacent areas. The proposed method has two steps: the creation of measurement images and measurements of the run-length matrix. Results suggest that the proposed approach is suitable for extracting GCPs from NOAA-AVHRR data.