Based on a data dimension compression technique, this paper studies the principles and method of remote sensing information extraction for urban built up land.

通过压缩数据维的方式，研究城市建筑用地信息准确提取的原理和方法。

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Aiming at synopsis computation of approximate query in data stream, a novel wavelet transformation algorithm, Minimum Error based Dimension Compression (MEDC) algorithm, is proposed in this paper.

针对数据流上近似查询中的梗概计算，提出了一种新的基于最小误差的维压缩小波变换算法(MEDC)。

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Data correlation coefficients were calculated and switch regions were analyzed by using two dimension discrete cosine transform (DCT) in ray-space data compression.

在光线空间的数据压缩中，计算了数据的相关系数，采用二维离散余弦变换(DCT)进行了变换域分析。

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