Distributed coding of remote sensing image based on wavelet low frequency sub-band prediction
小波低频子带预测的遥感图像分布式编码

As the continuous development of sensor technology to improve spatial, temporal resolution and spectral resolution of remote sensing images and to increase the amount of information, thus the storage and transmission of remote sensing image has brought significant challenges, so traditional image coding strategy is difficult to adapt to the applications of remote sensing images based on the uplink demand. This paper presents a coding scheme which is based on wavelet low-frequency sub-band prediction of distributed remote sensing images, using interpolation prediction method to get the auxiliary information which is used to decode the Wyner-Ziv. low-frequency information of images use embedded zerotree wavelet (EZW) coding scheme, while the prediction-error image use the Turbo hybrid coding scheme based on uniform quantization and the bit plane. At the decoder, the stream of prediction-error image is considered as an auxiliary information and the stream of low-frequency information are joint decoding. Experimental results show that the proposed method has high coding efficiency, small distortion, high compression ratio, strong ability of error control and scalable bit stream with quality and other characteristics.