数据中的模式：对于特定的表空间或分区，数据中重复出现的模式的出现频率将决定压缩的效果。
Patterns in the data: the frequency of recurring patterns in the data determines how effective compression will be for a particular table space or partition.
压缩也可以并行执行，但这会降低活动对象的打包效果，可能会生成几个较小的闲置空间，而不是一整块闲置空间。
Compaction can also be done in parallel, but it results in a less efficient packing of the live objects — instead of a single block of free space, several smaller ones might be created.
原始的数字图像需要大量的存储空间，而直接对其进行压缩编码效果并不理想。
Saving original image data needs a lot of memory space, and direct compression doesn't get a good effect.
基于神经网络的SOFM算法及其改进算法取得较好的空间压缩效果，实现了对高光谱遥感图像的有效压缩。
The SOFM algorithm based on a neural network and an improved algorithm have a good effect on space compression of hyperspectral remote sensing images.
高浮雕的压缩程度小，形体的空间起伏比较大因此而具有强烈的光影效果，视觉效果良好；
High relief compression degree, the form of the small space more ups and downs so has strong lighting effects, visual effect is good;
高浮雕的压缩程度小，形体的空间起伏比较大因此而具有强烈的光影效果，视觉效果良好；
High relief compression degree, the form of the small space more ups and downs so has strong lighting effects, visual effect is good;
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