Automatic generation of GCP chips from high resolution images using Susan algorithm

초록

Automatic image registration is an essential element of remote sensing because remote sensing system generates enormous amount of data, which are multiple observations of the same features at different times and by different sensor. The general process of automatic image registration includes three stes: 1) The extraction of features to be used in the matching process, 2) the feature matching strategy and accurate matching process, 3) the resampling of the data based on the correspondence computed from matched feature. For step 2) and 3), we have developed an algorithms for automated registration of satellite images with RANSAC (Random Sample Consensus) in success. However, for step 1), There still remains human operation to generate GCP chips, which is time consuming, laborous and expensive process. The main idea of this research is that we are able to automatically generate GCP chips with corner detection algorithms without GPS survey nd human intervention if we have systematic corrected satellite image within adaptable positional accuracy.