Position Estimation Using Texture Information in NOAA-AVHRR Data for Geometric Correction

NOAA (National Oceanic and Atmospheric Administration) -AVHRR (Advanced Very High Resolution Radiometer) data are available on a daily basis and have been frequently used for global observations. For a long-term analysis or monitoring, geometric correction is very important as a preprocessing technique. Therefore, this study proposes a method to automatically extract the ground control points (GCPs) with information of run-length matrix. The proposed method comprises three procedures: measurements of run-length-matrix, calculation of the features in neighboring areas, and extraction of target points. The results suggest that the proposed method that uses information of the 9 run-length matrix provides reasonable results as compared to those of a single run-length matrix, fractal dimensions, and co-occurrence matrix.