This paper addresses the problem of image compression in remote sensing applications. Compared with other static images

remote-sensing images are characterized with complex textures and weak local correlation. Most of current wavelet-based algorithms of image compression have not taken this into account

in which the predictions are always performed in the horizontal or vertical directions. In order to further improve coding efficiency

an efficient remote sensing image coding algorithm based on orientation-adaptive lifting wavelet(OALW) is proposed. First

the OALW is applied to the image at the direction where the pixels have a strong correlation

rather than at the horizontal or vertical orientation. Compression is then achieved by using a subband-bit-plane encoding method. In the experiments

two satellite images are selected to test the performance of the algorithm. Experimental results illustrate that it provides higher performance than JPEG2000 in low-bits compression.