Image compressed techniques are very important for the storage

transportating

and processing of remote sensing data. The quality of a compressed image is directly related to its value in practice. Therefore

the authors introduced a several quality assessment indexes and the relevant concepts for compressed remote sensing image data. And then the constructing theories and basic algorithms for some indexes

such as compression rate

the quality of the compressed image

compression velocity

and complexity of the algorithm

are discussed in detail. The corresponding software for the quality prognosis of a compressed remote sensing date is developed.