In this paper, we propose a coding method of remotely sensed satellite image with edge region compensation. This method classifies each pixel vector considering spectral reflection characteristics of satellite image data. For each class, we perform cl...
In this paper, we propose a coding method of remotely sensed satellite image with edge region compensation. This method classifies each pixel vector considering spectral reflection characteristics of satellite image data. For each class, we perform classified intraband VQ and classified interband prediction to remove intraband and interband redundancies, respectively. In edge region case, edge region is compensated using class information of neighboring blocks and gray value of quantized reference bands. Then we perform classsified interband prediction using compensated class information to remove interband redundancy, effectively. Experiments on LANDSAT TM satellite images show that coding efficiency of the proposed method is better than that of the conventional methods.