摘要
According to the remote sensing image characteristics,a set of optimized compression quality assessment methods is proposed on the basis of generating simulative images.Firstly,a means is put forward that generates simulative images by scanning aerial films taking into account the space-borne remote sensing camera characteristics(including pixel resolution,histogram dynamic range and quantization).In the course of compression quality assessment,the objective assessment considers images texture changes and mutual relationship between simulative images and decompressed images,while the synthesized estimation factor(SEF) is brought out innovatively for the first time.Subjective assessment adopts a display setup — 0.5mm/pixel,which considers human visual characteristic and mainstream monitor.The set of methods are applied in compression plan design of panchromatic camera loaded on ZY-1-02 C satellite.Through systematic and comprehensive assessment,simulation results show that image compression quality with the compression ratio of 4:1 can meet the remote sensins aDDlication reauirements.
According to the remote sensing image characteristics, a set oi optimized compression quahty assessment methods is proposed on the basis of generating simulative images. Firstly, a means is put forward that generates simulative images by scanning aerial films taking into account the space-borne remote sensing camera characteristics (including pixel resolution, histogram dynamic range and quantization). In the course of compression quality assessment, the objective assessment considers images texture changes and mutual relationship between simulative images and decompressed ima- ges, while the synthesized estimation factor (SEF) is brought out innovatively for the first time. Subjective assessment adopts a display setup -- 0.5mrn/pixel, which considers human visual char- acteristic and mainstream monitor. The set of methods are applied in compression plan design of panchromatic camera loaded on ZY-1-02C satellite. Through systematic and comprehensive assess- ment, simulation results show that image compression quality with the compression ratio of d:l can meet the remote sensing application requirements.
基金
Supported by the Civil Aerospace"The 12~(th) Five-year Plan"Advanced Research Project(No.D040103)
关键词
压缩质量
评估方法
遥感影像
星载
模拟图像
遥感相机
遥感应用
模拟生成
remote sensing images compression, images quality assessment, blocking standard variance, synthesized estimation factor (SEF), images display