Abstract
Improved Slanted Edge Methods of Measuring Modulation Transfer Function Based on Structured Total Least L1-, L2-norm Edge Fitting for Urban Remote Sensing Images
Highlights
The modulation transfer function (MTF) depicts the modulation degrees at different spatial frequencies.[1]
We propose improved slanted edge methods for measuring the MTF based on structured total least L1, L2-norm fitting for urban remote sensing images
We propose improved MTF measurement methods based on structured total least L1- and L2norm edge fitting, which take into consideration the errors in both the observation vector and design matrix
Summary
The modulation transfer function (MTF) depicts the modulation degrees at different spatial frequencies.[1]. Qin and Gong proposed a slanted edge method to calculate the point spread function (PSF) of remote sensing images.[8] Xie et al analyzed in detail the factors that may affect the MTF results in the slanted edge method,(9) such as the edge angle and measurement error. Deng[6] and Birchfield[11] proposed measuring the MTF with the total least squares (TLS) method with the aims of considering the errors in both the observation vector and design matrix in the edge fitting process and improving the accuracy of edge fitting compared with the LS method. We propose improved slanted edge methods for measuring the MTF based on structured total least L1-, L2-norm fitting for urban remote sensing images. We propose improved MTF measurement methods based on structured total least L1- and L2norm edge fitting, which take into consideration the errors in both the observation vector and design matrix.
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