..._百度空间 ... data reduction;datacompression数据压缩 data redundancy数据冗余度 data representation数据表示 ...
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针对高光谱遥感影像数据量大、数据冗余度高的特点,引入拉普拉斯特征映射方法对高光谱遥感数据进行非线性降维。
Feature extraction is an indispensable preprocessing step for large and high redundancy data of hyperspectral remote sensing image.
该方法简单、实用,提高了数据的鲁棒性和准确性,同时降低了整个网络内的数据冗余度,节省了大量的网络能量和网络带宽。
The method is a simple, practical algorithm, and greatly reduces the redundancy of data within the network, saving a lot of storage resources and network bandwidth.
数据压缩旨在利用图像的冗余度来减少表示图像所需的比特数,从而节省图像存贮容量,提高传输效率。
Data compression improves the efficiency of data transmission by utilizing the correlation of images and reducing the redundancy of bits representing them to save the memory capacity.
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