FAST algorithm-based geometric accurate rectification of large HJ satellite image

Abstract

Owing to relatively serious irregular geometric deformation of the whole image,it is difficult to simulate the deformation property of the whole large HJ satellite image by using the global model. Neither the global nor the local calibration model based on traditional manual selection of the ground control point( GCP) is suitable for geometric accurate rectification of the large HJ satellite image,and hence the authors proposed an optimization local model of geometric rectification method for calibrating HJ satellite remote sensing image after selecting GCPs with the algorithm of features from accelerated segment test( FAST). This method can be described as follows: First,plenty of GCPs are automatically obtained based on FAST algorithm; Then,a polynomial model is employed to analyze and evaluate the points' matching ratio between non-matching GCPs and actual GCPs in the RMSE threshold with the correlation analysis method; In addition,the total error GCPs' numbers are calculated according to the analysis of the results and the choice of appropriate root-mean-square error threshold to eliminate error GCPs; Finally,the rectification is completed with local model of Linear Rubber Sheeting. Besides,the authors have established a criteria system which is suitable for the registration result by evaluating HJ satellite remote sensing image,including residuals scatter plot,spatial interpolation method and so on. The evaluation results show that the error of calibrated HJ satellite remote sensing image can be restricted within 1. 5 pixels,and the calibrated image meets the requirements of mid-resolution's application satisfactorily.