图像压缩对影像质量影响评价方法研究
发布时间：2018-09-13 10:30
【摘要】：随着航空航天遥感技术的发展，遥感卫星的影像数据量日益庞大，受限于星上存储能力与卫星下行链接的带宽的限制，必须采用高效的数据压缩技术来降低数据量。经过压缩的影像质量必然下降，它直接关系到遥感影像数据的应用能力与应用范围，因此对压缩影像进行质量评价具有十分重要的现实意义。 本文围绕构像质量、几何质量两方面对压缩的遥感影像展开质量评价，，并利用航空航天影像等多种数据进行试验，主要研究内容如下： 1)介绍了遥感卫星的发展历程及典型的高分辨率遥感卫星；简述了影像压缩技术的发展与典型的压缩算法；介绍了对压缩影像进行质量评价的意义、评价内容及其研究发展现状。 2)在构像质量评价方面，介绍了主观质量评价方法和影像特征分析、影像对比分析和影像应用分析的客观构像质量评价方法；介绍了基于结构相似度的构像质量评价模型。在几何质量评价中，介绍了基于DSM精度评价和基于影像匹配精度评价的两种方法。 3)利用不同类型的航空航天遥感影像数据进行了构像质量和几何质量评价试验；通过试验，分析了不同压缩算法、不同压缩倍率对压缩影像构像质量与几何质量的影响。
[Abstract]:With the development of aerospace remote sensing technology, the amount of remote sensing satellite image data is increasing, which is limited by the limitation of on-board storage capacity and the bandwidth of satellite downlink, so efficient data compression technology must be used to reduce the amount of data. The quality of compressed image is bound to decline, which is directly related to the ability and scope of application of remote sensing image data. Therefore, it is of great practical significance to evaluate the quality of compressed image. In this paper, the quality evaluation of compressed remote sensing images is carried out in terms of conformation quality and geometric quality, and the experiments are carried out using a variety of data, such as aerospace images, etc. The main research contents are as follows: 1) the development of remote sensing satellite and typical high-resolution remote sensing satellite are introduced, and the development of image compression technology and typical compression algorithm are briefly described. This paper introduces the significance, content and development of the quality evaluation of compressed image. 2) in the aspect of conformation quality evaluation, the subjective quality evaluation method and image feature analysis are introduced. The objective conformation quality evaluation method based on image contrast analysis and image application analysis is introduced, and the conformational quality evaluation model based on structural similarity is introduced. In geometric quality evaluation, two methods based on DSM accuracy evaluation and image matching accuracy evaluation are introduced. 3) Conformational and geometric quality evaluation experiments are carried out using different types of aerial and aerospace remote sensing image data. The effects of different compression algorithms and different compression rates on the conformation and geometric quality of compressed images are analyzed through experiments.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P23
本文编号：2240919
[Abstract]:With the development of aerospace remote sensing technology, the amount of remote sensing satellite image data is increasing, which is limited by the limitation of on-board storage capacity and the bandwidth of satellite downlink, so efficient data compression technology must be used to reduce the amount of data. The quality of compressed image is bound to decline, which is directly related to the ability and scope of application of remote sensing image data. Therefore, it is of great practical significance to evaluate the quality of compressed image. In this paper, the quality evaluation of compressed remote sensing images is carried out in terms of conformation quality and geometric quality, and the experiments are carried out using a variety of data, such as aerospace images, etc. The main research contents are as follows: 1) the development of remote sensing satellite and typical high-resolution remote sensing satellite are introduced, and the development of image compression technology and typical compression algorithm are briefly described. This paper introduces the significance, content and development of the quality evaluation of compressed image. 2) in the aspect of conformation quality evaluation, the subjective quality evaluation method and image feature analysis are introduced. The objective conformation quality evaluation method based on image contrast analysis and image application analysis is introduced, and the conformational quality evaluation model based on structural similarity is introduced. In geometric quality evaluation, two methods based on DSM accuracy evaluation and image matching accuracy evaluation are introduced. 3) Conformational and geometric quality evaluation experiments are carried out using different types of aerial and aerospace remote sensing image data. The effects of different compression algorithms and different compression rates on the conformation and geometric quality of compressed images are analyzed through experiments.
【学位授予单位】：长安大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P23
【引证文献】
相关硕士学位论文 前1条
1 杜挺;Landsat8 OLI遥感影像融合算法比较及其土地利用分类适应性分析[D];西北大学;2015年
本文编号：2240919
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