선택적인 대역간 예측 및 VQ를 이용한 인공위성 화상데이타 압축 = Satellite Image Data Compression Using Selective Interband Prediction/VQ

다국어 초록 (Multilingual Abstract)

In this paper, we propose a satellite image data compression method using selective interband prediction/vector quantization(VQ) based on classification. This method classifies each pixel vector considering spectral characteristics of multispectral images. Then we perform the classified VQ to remove spatial redundancy for a reference band image that has the highest correlation spatially. To remove spectral redundancy, we perform the classified interband prediction for the band images that have high correlation spectrally and perform the classified interband for the remaining band images. Iy selecting the interband prediction and VQ for spectral images effectively, this method removes effectively the spectral redundancy in multispectral images and improves compression efficiency. Experiments on Landsat The multispectral image show that compression efficiency of the proposed method is better than that of the conventional Gupta's method.