Share Email Print

Optical Engineering

Satellite modulation transfer function estimation from natural scenes
Author(s): Xiyang Zhi; Wei Zhang; Sun Xuan; Wang Dawei
Format Member Price Non-Member Price
PDF $20.00 $25.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We propose an in-orbit modulation transfer function (MTF) statistical estimation algorithm based on natural scene, called SeMTF. The algorithm can estimate the in-orbit MTF of a sensor from an image without specialized targets. First, the power spectrum of a satellite image is analyzed, then a two-dimensional (2-D) fractal Brownian motion model is adopted to represent the natural scene. The in-orbit MTF is modeled by a parametric exponential function. Subsequently, the statistical model of satellite imaging is established. Second, the model is solved by the improved profile-likelihood function method. In order to handle the nuisance parameter in the profile-likelihood function, we divided the estimation problem into two minimization problems for the parameters of the MTF model and nuisance parameters, respectively. By alternating the two iterative minimizations, the result will converge to the optimal MTF parameters. Then the SeMTF algorithm is proposed. Finally, the algorithm is tested using real satellite images. Experimental results indicate that the estimation of MTF is highly accurate.

Paper Details

Date Published: 24 November 2015
PDF: 8 pages
Opt. Eng. 54(11) 113108 doi: 10.1117/1.OE.54.11.113108
Published in: Optical Engineering Volume 54, Issue 11
Show Author Affiliations
Xiyang Zhi, Harbin Institute of Technology (China)
Wei Zhang, Harbin Institute of Technology (China)
Sun Xuan, Harbin Institute of Technology (China)
Wang Dawei, Harbin Institute of Technology (China)

© SPIE. Terms of Use
Back to Top