测绘学报 ›› 2015, Vol. 44 ›› Issue (11): 1219-1226.doi: 10.11947/j.AGCS.2015.20140400

• 摄影测量学与遥感 • 上一篇    下一篇

点扩散函数的改进倾斜刃边重建的高精度估计

范冲, 李冠达, 伍超云, 李成, 钟蕾   

  1. 中南大学地球科学与信息物理学院, 湖南 长沙 410083
  • 收稿日期:2014-08-31 修回日期:2015-05-04 出版日期:2015-11-20 发布日期:2015-11-25
  • 通讯作者: 李冠达,E-mail:grand1@126.com E-mail:grand1@126.com
  • 作者简介:范冲(1977-),男,副教授,研究方向为图像超分辨率重建理论和方法。E-mail:fanchong@126.com
  • 基金资助:
    国家973计划(2012CB719904);中南大学研究生自主探索创新项目(2014zzts256)

High Accurate Estimation of Point Spread Function Based on Improved Reconstruction of Slant Edge

FAN Chong, LI Guanda, WU Chaoyun, LI Cheng, ZHONG Lei   

  1. School of Geosciences and Info-physics, Central South University, Changsha 410083, ChinaAbstract
  • Received:2014-08-31 Revised:2015-05-04 Online:2015-11-20 Published:2015-11-25
  • Supported by:
    The National Basic Research Program of China(973 Program)(No. 2012CB719904) Postgraduate Independent Exploration and Innovation Program of Central South University(No. 2014zzts256)

摘要: 基于现有刃边法提出了一种不受刃边倾角限制的点扩散函数高精度估计算法,通过改进刃边拟合、样本去噪与防走样重采样优化边缘扩散函数重建过程,并采用高斯函数拟合点扩散函数得到高精度PSF估值。试验表明,相较于现有刃边法,本文方法的估计精度与稳定性有显著提高。

关键词: 遥感图像处理, 图像退化, 点扩散函数, 刃边法

Abstract: A high accurate estimation algorithm for point spread function which is free from edge slant angle is proposed. In this algorithm, high accuracy estimation of point spread function is gained by improved edge line fitting, sample denosing and anti-aliasing resampling. Compared with the existing slanted edge methods, the new method yields a significant improvement in accuracy and stability.

Key words: remote sensing image processing, degradation, point spread function, edge method

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