基于模糊综合评判方法的遥感影像压缩主观质量评价  

Subjective Quality Assessment for Compressed Remote Sensing Images Based on Fuzzy Comprehensive Evaluation Method

作　　者：翟亮[1] 唐新明[1] 李霖[2] 袁捷[1] 

机构地区：[1]中国测绘科学研究院,北京100039 [2]武汉大学资源与环境科学学院,湖北武汉430079

出　　处：《地理与地理信息科学》2007年第3期24-27,32,共5页Geography and Geo-Information Science

基　　金：国家基础测绘项目"高分辨率立体测图卫星深化论证与关键技术研究"(14699990624201);国家自然科学基金项目"模糊空间要素模型的理论和方法研究"(40571127)

摘　　要：介绍遥感影像压缩的主观评价方法及其分类,并应用模糊综合评判方法对采用JPEG2000标准和SPIHT改进算法压缩后的重建影像进行质量评价。评价结果表明:随着压缩比增加,两种压缩算法压缩后的影像质量均逐渐下降;当压缩比不超过4∶1时,两种压缩算法得到的影像效果均较好,与原始影像差别不大;当压缩比相同时,JPEG2000算法的压缩效果略好于SPIHT算法;在地形较复杂的丘陵和山地,两种压缩算法压缩后的影像质量下降,影像失真较严重。Subjective assessment methods for compressed remote sen.sing images and their classifications are introduced. Since subjective assessment has much fuzziness, a fuzzy comprehensive evaluation method is studied and applied in assessment for reconstructed remote sensing images which are compressed by JPEG2000 standard and improved SPIHT algorithm. The assessment results show that： for both compression algorithms of JPEG2000 and improved SPIHT, reconstructed image quality degrades with the increase of compression ratio; all reconstructed images＇ quality is better than ‘good＇ when image compression ratio is less than 4：1 ; with the same compression ratio,JPEG2000 performs better than improved SPIHT;more significant degradation of reconstructed image quality will be caused when the terrain type is more complex,or image texture is richer,such as in hill or mountain area.

关 键 词：模糊综合评判方法 JPEG2000 SPIHT 遥感影像压缩 主观质量评价 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]