To meet the different needs of different users to the quality of remote sensing images leading to a series of problems

such as a large amount of image data and transmission and display delay in heterogeneous network environments

an online remote sensing image progressive transmission model is constructed in which remote sensing image compression and decompression are synchronized with transmission. At the same time

a pipeline-based multi-thread acceleration scheme with SPIHT algorithm

which is a quality progressive method

is proposed through solving the asynchronous problem between compression

decompression

and transmission to improve the efficiency of remote sensing progressive transmission. In the VC++ platform

the proposed model was implemented based on a socket communication channel and SPIHT

which can provide a qualitative progressive code stream. First

a given image was compressed into a code stream by SPIHT. Then

the socket channel was used for sending the code stream in real time. For the client

it decompressed the code stream and displayed the reconstructed image as soon as it received the code stream. The real-time system was realized by multi-threading technology

which guaranteed that the compression

transmission

and decompression were processed synchronously. Therefore

the whole processing time can be reduced. Experimental results show that the whole processing speed has been improved nearly twice without reducing image quality by using the proposed progressive transmission of the real-time compression model. Compare with multi-resolution progressive method

the similarity index has improved an increase of 20% between each progressive layer of image and the original image in our quality progressive method. The asynchronous problem during the processing of compression-transmission-decompression for remote sensing images was solved in the new model

and the transmitting efficiency has greatly improved. On the other hand

this proposed progressive transmission model has done better in visual effects as contrasted with the multi-resolution progressive transmission.