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。
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)。
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。
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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