针对点云数据局部集中的特点,使用差值预测对点云数据进行预测处理 在预测的同时,根据IEEE2754

浮点数标准,简化浮点数的尾数,使用3. 5 Byte来表示一个浮点数,以提高压缩效果 然后对预测数据中连续重

复的字节使用该字节加该字节重复的次数的方式存储 最后对经过以上处理的数据使用一阶自适应算术编码进

行压缩。最终得到的程序在压缩比和内存占用两个方面远优于WinRAR、WinZip压缩软件-Point cloud data for the characteristics of local focus, the use of the margin forecast for the point cloud data to predict treatment　prediction at the same time, according to IEEE2754 standard floating-point numbers, simplifying the mantissa floating-point numbers, the use of 3. 5 Byte to indicate a floating-point numbers to improve compression results　then to predict the data for byte duplicate of the use of the add-byte duplicate of the number of bytes stored　Finally treatment of the above data using the first-order adaptive arithmetic coding to compress. Finally received the procedure at compression ratio and memory area occupied by two much better than WinRAR, WinZip compression software