基于改进层次分析法的遥感影像压缩质量评价

Remote Sensing Image Compression Quality Evaluation Based onImproved Analytic Hierarchy Process

遥感影像压缩质量评价是影像压缩中的技术难点,目前遥感影像压缩质量评价多采用单一指标评价,尚缺乏多个评价指标综合评价的研究。将改进的层次分析法引入遥感影像压缩质量评价,对主、客观质量评价方法的多个评价指标综合利用,对基于贝叶斯统计学习的遥感影像压缩编码方法和JPEG 2000两种压缩算法的多种压缩比遥感影像数据进行质量评价。通过结果对比分析,验证了算法的有效性,其评价结果对遥感影像压缩处理定量分析具有重要意义和研究价值。

Remote sensing image compression quality evaluation is the technical difficulty in image compression.At present,the evaluation of remote sensing image compression quality is mostly based on single index evaluation,and lack of comprehensive evaluation of multiple indexes.The improved analytic hierarchy process(AHP)is introduced into the quality evaluation of remote sensing image compression,and multiple evaluation indexes of subjective and objective quality evaluation methods are comprehensively used to evaluate the quality of remote sensing image compression coding method based on Bayesian statistical learning and multiple compression ratios of JPEG 2000 compression algorithms.Through the comparative analysis of the results,the effectiveness of the algorithm is verified.The evaluation results have important significance and research value for the quantitative analysis of remote sensing image compression processing.