提出了对块零树的预测二值标量量化压缩编码方法 ,给出了压缩比公式 ,并应用此压缩编码实现了对超细光谱数据的压缩。该压缩编码方法既具有小波零树压缩编码高压缩比和宜于实时实现的特点 ,同时具有编码、解码速度快和易于实时传输等优点。实验结果表明 :改进的对块零树编码压缩 (IBBZTC)方法在不传输剩余误差的情况下 ,达到 190倍的压缩比时 ,峰值信噪比仍然在 30dB以上 ,压缩性能优于KL变换静止图像压缩 (KLT JPEG)、小波变换矢量量化 (WT VQ)、小波变换零树矢量量化 (WT ZTVQ)和对块零树编码压缩方法An improved biblock zero tree compression coding (IBBZTC) method with predictive binary scalar quantization and a compression ratio formula is given. The IBBZTC way is applied for hyperspectral data compression. This method is characterized by ZTC′s high compression ratio, real time implementing, and advantages of higher coding/decoding speed and real time transmission. The experimental results show that the total compression performance of IBBZTC outperforms the KL transformation joint photographic experts group (KLT JPEG), wavelet transform vector quantization (WT VQ), wavelent transform zero tree vector quantization (WT ZTVQ) and biblock zero tree coding (BBZTC) compression methods without transmitting residue error. Compression rate is 190 times, and peak SNR is above 30 dB.福建省自然科学基金 (9910 0 0 2 );; 厦门大学科研启动基金资助课
