The invention relates to a
compressed sensing-based
remote sensing image full-process
adaptive coding and decoding method, and relates to the technical field of space
remote sensing imaging. The method comprises the following steps of: calculating an
image content complexity self-
adaptive selection coding mode by utilizing a maximum between-class difference method; extracting an image feature factor, establishing a significance model of a corresponding mode, and guiding the coding tree block to carry out adaptive form partitioning; detecting the sparsity of the
coding block through an
information density function to mine the sparsity of the image, and realizing the adaptive sampling rate distribution of the image; and adaptively selecting a reconstruction matrix and a sparse base according to the category of the
coding block, setting an iteration threshold according to the known sparseness, and reconstructing the
coding block by using an
orthogonal matching pursuit algorithm. According to the method provided by the invention, the
compression ratio does not need to be manually preset, the sampling mode can be selected according to the
image content, the compression efficiency is adaptively set by detecting the sparseness, and the requirements of on-
satellite rapid compression and ground high-fidelity reconstruction are met.