Quality assessment of multi-spectral image compression

Quality assessment for remote sensing image compression is of great significance, especially in satellite image onboard compression design. When satellite image utilized for mapping, quality assessment for multi-spectral image compression from spectral preservation perspective is vital for mapping production and land resource management utilizing high resolution remote sensing image. A series of compression experiments has been done in order to examine the effects of multi-spectral image compression with 5.8m resolution, which will be used to instruct the onboard image compression design of the following ZY-3 satellite series. The case study chose typical experiment area from a variety of land use categories including urban build-up, vegetation, water-body, bared-soil, etc, in order to make a comprehensive evaluation of the effect of multi-spectral image compression in depth. The multi-spectral experimental images were compressed with JPEG-LS method. The primary result showed that with compression ratio 3:1, effects of multi-spectral image compression can be accepted for mapping application.