Research On Remote Sensing Image Fusion And Compression Technology Based On Contourlet

Contourlet transform is a new kind of multi-scale and multi-resolution analysis tool and not only has characteristics of multi-resolution, locality and critical sampling which wavelet has, but also has the characteristics of multiple decomposition directions and anisotropy which wavelets lacking. So Contourlet transform has better sparse representation for 2D-image than wavelet transform. Remote sensing image has plenty of information and abundant image details and Contourlet transform has more plentiful coefficients for image representation and can use less Contourlet coefficients to describe image details than wavelet transform, so Contourlet transform can be applied to fusion and compression for remote sensing image.In order to realize fusion and compression for remote sensing image using Contourlet transform, firstly, Contourlet transform is applied to preprocessing for remote sensing image including de-noising and registration before fusion and enhancement before compression for remote sensing image, then, Contourlet transform is applied to fusion for image sensing image including fusion of multi-source gray scale remote sensing images, fusion between multi-spectrum and panchromatic remote sensing image and fusion for remote sensing image based on nonsubsampled Contourlet transform, finally, Contourlet transform is applied to compression coding for remote sensing image including EZC, CSPIHT and CLZC. The experimental results show that the algorithm that Contourlet transform is applied to remote sensing image is effective.In order to meet real time image processing for multi-spectrum and panchromatic remote sensing image on satellite, the hardware system based on multi-DSP processor is designed and realize the fusion and compression algorithm based on Contourlet transform. its work flow is de-noising , registration, fusion, enhancement , compression coding for remote sensing image and transmission by laser.