基于自由能的遥感图像质量评价
毕业论文关键词：自由能 遥感图像质量评价 信息熵 色彩空间
Title Remote Sensing Image Quality Assessment based on Free Energy.
Abstract
Remote sensing images are applied on the military, industrial and life more and more widely.
The important prerequisite of using remote sensing images is the clarity and intelligibility.
However, in the process of producing, transmission and preservation, remote sensing images
will be suffered from different kinds and degrees of distortions. Moreover, people will be
confused with analyzing and understanding the images. So the study of remote sensing image
quality assessment is extremely important.
This paper mainly focuses on the study of the remote sensing image quality assessment based on
free energy. We make some improvement on the efficiency of the computation of free energy
firstly. Since free energy describes the image quality by the form of entropy, we make some
research on the information entropy. And a new no-reference image quality assessment based on
the color entropy is proposed. Finally, we combine the free energy and the feature extraction of
local entropy, and apply them on the remote sensing image quality assessment.
Keywords: free energy, remote sensing image quality assessment, information entropy, color space
目 次
1 绪论 1
1.1 研究意义与背景 . 1
1.2 相关领域的国内外研究现状 .. 2
1.3 论文章节安排 .. 5
2 自由能算法的研究与改进 7
2.1 引言 7
2.2 自由能算法FEDM(free-energy-based distortion metric).. 7
2.3 自由能算法的效率改进 . 8
2.4 实验结果与分析 .. 10
2.5 本章小结 .. 12
3 信息熵在无参考图像质量评价中的应用研究 .. 13
3.1 引言 . 13
3.2 Lab色彩空间 . 13
3.3 基于色彩熵的无参考图像质量评价算法 .. 15
3.4 实验结果与分析 .. 16
3.5 本章小结 .. 22
4 自由能在遥感图像质量评价中的应用 .. 23
4.1 引言 . 23
4.2 基于环境星遥感真实图像库 23
4.3 基于自由能比较算法的遥感图像排序算法 . 24
4.4 基于自由能和局部熵特征提取的无参考遥感图像质量评价算法 . 27
4.5 本章小结 .. 28
结 论 29
致 谢 30
参考文献 .. 31
附录 . 33 1 绪论
1.1 研究意义与背景
目前，我国的航天遥感事业正在高速发展，越来越多的卫星被送入太空，军用卫星一般
都具有较高的分辨率，而气象和环境等卫星基本只有中低分辨率。遥感数据的时效性对国家