Mapping Oriented Geometric Quality Assessment for Remote Sensing Image Compression

摘要：

In satellite mapping application area,geometric quality assessment for remote sensing image compression is of great importance for onboard compression index determination.The paper proposed an integral geometric quality assessment plan for remote sensing image compression,which includes image matching accuracy assessment,effects of compression on automated DSM/DEM extraction,and photogrammetic point determination accuracy assessment.Image matching accuracy analysis shows how degradation in image quality associated with lossy compression can affect matching accuracy.In analyzing effects of compression on automated DSM/DEM extraction,a DSM is extracted from the original stereopair and held as the reference against which the terrain heights obtained from compressed imagery are compared.Similar to DSM extraction accuracy analysis,photogrammetric point determination accuracy analysis is proposed to compare the accuracy of two sets of 3D coordinates of the feature points which are from original images and reconstructed images.The relationship between compression ratio and terrain types was examined.As to SPIHT algorithm adopted in Resources Satellite-3,the experiment results showed that the compression ratio should be no more than 4:1for mapping application.

关键词： remote sensing image compression geometric quality assessment SPIHT

作者: ZHAI Liang TANG Xinming ZHANG Guo

作者单位: Key Laboratory of Geo-informatics of State Bureau of Surveying and Mapping,Chinese Academy of Survey State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan Univer

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）