| 一种新型的遥感影像压缩质量评价指标 |
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| 引用本文： | 翟亮, 唐新明, 李霖, 洪志刚. 一种新型的遥感影像压缩质量评价指标[J]. 武汉大学学报 ( 信息科学版), 2007, 32(10): 872-875. |
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| 作者姓名： | 翟亮 唐新明 李霖 洪志刚 |
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| 作者单位： | 1 中国测绘科学研究院,北京市海淀区北太平路16号,1000392 武汉大学资源与环境科学学院,武汉市珞喻路129号,430079 |
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| 基金项目： | 国家重点实验室基金;国家基础测绘科技基金 |
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| 摘 要： | 针对遥感影像的特性,提出了一个用于压缩质量评价的多维结构模型,该结构模型由影像特征畸变、纹理畸变和相关性损失三个“维”组成,在此基础上提出一种新的构像质量综合性评价指标。实验证明,该指标与传统的PSNR指标相比,与主观评价结果具有较好的吻合性。
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| 关 键 词： | 影像质量 质量评价指标 JPEG2000 PSNR |
| 文章编号： | 1671-8860（2007）10-0872-04 |
| 收稿时间： | 2007-08-14 |
| 修稿时间： | 2007-08-14 |
A New Quality Assessment Index for Compressed RS Image |
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| ZHAI Liang, TANG Xinming, LI Lin, HONG Zhigang. A New Quality Assessment Index for Compressed RS Image[J]. Geomatics and Information Science of Wuhan University, 2007, 32(10): 872-875. |
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| Authors: | ZHAI Liang TANG Xinming LI Lin HONG Zhigang |
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| Affiliation: | 1 Chinese Academy of Surveying and Mapping , 16 Beitaiping Road , Haidian District, Beijing 100039, China2 School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan 430079, China |
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| Abstract: | Quality assessment for remote sensing image compression is of great significance in many practical applications. A muti-dimensional structure model is designed for image compression assessment, which consists of gray character distortion dimension, texture distortion dimension, loss of correlation dimension. Based on this model, a new index-Q is proposed and validated through a series of experiments. The experiments show that Q has a better consistency with subjective assessment results than conventional PSNR. |
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| Keywords: | JPEG2000 PSNR |
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