遥感图像客观质量评价方法研究

图学学报

遥感图像客观质量评价方法研究

出版日期:2011-12-30 发布日期:2015-08-12

Research on Objective Quality Assessment of Remote Sensing Image

Online:2011-12-30 Published:2015-08-12

摘要/Abstract

摘要： 为分析图像压缩过程对遥感图像质量的影响，从遥感图像构像质量和几何质量两个方面探讨了遥感图像客观质量评价方法，并改进一种基于Harris角点检测算法的亚像素级角点检测算法。采用JPEG2000、SPIHT两种算法分别对这些评价方法进行验证。实验表明：为满足人眼视觉观察能分辨图像细节的要求，遥感图像压缩比不宜超过16倍，为使压缩后图像满足计算机视觉应用，图像压缩比不宜超过8倍。

关键词: 图像压缩, 图像质量评价, 角点检测算法, 压缩比

Abstract: To study the quality effect of the remote sensing image brought by the image compression process, several algorithms of objective quality assessment about the visual and geometric quality of the remote sensing image are discussed. A sub-pixel level corner detection algorithm based on the Harria corner detection algorithm is improved. Two compression algorithms of JPEG2000 and SPIHT are used to verify these assessment algorithms. The experimental results show that the image compression rate can be no larger than 16 if you want to distinguish the details by your eyes, and it can be no larger than 8 if you need satisfactory precision in computer vision applications.

Key words: image compression, image quality assessment, corner detection algorithm, compression rate

何中翔，王明富，杨世洪，吴钦章. 遥感图像客观质量评价方法研究[J]. 图学学报.

HE Zhong-xiang, WANG Ming-fu, YANG Shi-hong, WU Qin-zhang. Research on Objective Quality Assessment of Remote Sensing Image[J]. Journal of Graphics.

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