遥感影像压缩质量评价的研究及应用

基金项目: 国家自然科学基金资助项目(40801178)；地理空间信息工程国家测绘局重点实验室开放研究基金资助项目(A1721)；国家科技部国际科技合作计划资助项目(2006DFA71570)

详细信息

Remote Sensing Image Compression Quality Assessment and Its Application

¹Chinese Academy of Surveying and Mapping,16 Beitaiping Road,Haidian District,Beijing 100039,China;²State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(40801178)；地理空间信息工程国家测绘局重点实验室开放研究基金资助项目(A1721)；国家科技部国际科技合作计划资助项目(2006DFA71570)

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。
- 影像压缩 /
- 质量评价 /
- 改进的SPIHT算法
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.
- image compression /
- quality assessment /
- modified SPIHT algorithm