翟亮, 唐新明, 张过, 祝小勇. 遥感影像压缩质量评价的研究及应用[J]. 武汉大学学报 ( 信息科学版), 2009, 34(3): 289-292.
引用本文: 翟亮, 唐新明, 张过, 祝小勇. 遥感影像压缩质量评价的研究及应用[J]. 武汉大学学报 ( 信息科学版), 2009, 34(3): 289-292.
ZHAI Liang, TANG Xinming, ZHANG Guo, ZHU Xiaoyong. Remote Sensing Image Compression Quality Assessment and Its Application[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 289-292.
Citation: ZHAI Liang, TANG Xinming, ZHANG Guo, ZHU Xiaoyong. Remote Sensing Image Compression Quality Assessment and Its Application[J]. Geomatics and Information Science of Wuhan University, 2009, 34(3): 289-292.

遥感影像压缩质量评价的研究及应用

Remote Sensing Image Compression Quality Assessment and Its Application

  • 摘要: 针对目前在测绘行业尚没有一套相对完善的遥感影像压缩质量评价方案,提出了基于遥感影像的应用要求,围绕遥感影像压缩的主、客观质量评价,从多个角度研究了遥感影像压缩质量评价指标,并进行了相关试验。试验结果认为,如果资源3号卫星采用改进的SPIHT压缩算法,可以接受的压缩比不应超过4∶1。

     

    Abstract: Quality assessment for remote sensing image compression is of great value in many realms.However,there has no quality assessment scenarios in the field of surveying and mapping.This paper suggested that remote sensing image quality assessment experiments centering on subjective assessment and objective assessment should be taken according to application requirements.The experiments show that the compression ratio should be no more than 4∶1 if the improved SPIHT algorithm were employed on board for Resources Satellite 3.

     

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