影像科学与光化学 ›› 2014, Vol. 32 ›› Issue (3): 238-250.DOI: 10.7517/j.issn.1674-0475.2014.03.238

• 论文 • 上一篇    下一篇

基于相关因素的遥感影像辐射质量度量模型研究

刘飒1,2, 王明志1, 吴亮2, 晏磊1   

  1. 1. 北京大学 空间信息集成与3S工程应用北京市重点实验室, 北京 100871;
    2. 中国地质大学(武汉), 湖北 武汉 430074
  • 收稿日期:2013-11-23 修回日期:2014-03-06 出版日期:2014-05-15 发布日期:2014-05-15
  • 通讯作者: 晏磊
  • 基金资助:

    国家支撑计划项目(2011BAH23B01)、国家自然科学基金(11174017)和高等学校博士学科点专项科研基金(20110001110073)资助

A Study on Remote Sensing Image Radiation Quality Metric Model Based on Correlative Factors

LIU Sa1,2, WANG Mingzhi1, WU Liang2, YAN Lei1   

  1. 1. Beijing Key Lab of Spatial Information Integration and 3S Application, Peking University, Beijing 100871, P. R. China;
    2. China University of Geosciences, Wuhan 430074, Hubei, P. R. China
  • Received:2013-11-23 Revised:2014-03-06 Online:2014-05-15 Published:2014-05-15

摘要:

目前遥感影像辐射质量评价多以目视判读为主,具有很强的主观性。针对如何客观、全面地评价遥感影像辐射质量这一问题,本文研究了一种利用质量相关因素来评价遥感影像辐射质量的度量模型。该模型提取遥感影像的四个因素指标,即亮度、清晰度、信息量和纹理特征,采用相关分析法计算各个因素指标的权值。对于清晰度指标,通过改进梯度函数,研究了新的清晰度提取方法。实验证明,对于多种不同类型的遥感影像,本模型所得的评价结果可较好地符合人眼的视觉感受。该遥感影像辐射质量度量模型能够客观、定量地分析遥感影像辐射质量,同时与主观评价具有一致性。

关键词: 遥感影像, 辐射质量, 相关因素, 相关分析法, 清晰度

Abstract:

Current evaluation methods of remote sensing image radiation quality are mainly based on visual judgment and are, therefore, very subjective. To the problem of how to evaluate remote sensing image radiation quality objectively and comprehensively, this study developed a metric model which employs images quality-correlative factors to give a solution. This model extracts four factors, these are brightness, clarity, information and texture feature. The correlation analytical method was used in this research to calculate the weight-value of the four factors. For the clarity factor, a new method that improved gradient function was developed. Experiments have shown that the final evaluation results have a higher consistency of subjective assessment for different types of remote sensing images, and this model can well correlated with human perception. The remote sensing image radiation quality metrics model can analysis the quality objectively and quantitatively, and can be well correlated with human perception.

Key words: remote sensing image, radiation quality, correlative factors, correlation analytical method, clarity