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基于小波变换的遥感图像无损压缩算法研究 被引量:2

Research on Lossless Compression Algorithm of Hyperspectral Remote Sensing Image Based on Integer Wavelet Transform
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摘要 随着遥感技术的迅速发展,遥感图像数据量日益增大,有限的信道容量与传输大量遥感数据的需求之间的矛盾日益突出。在应用中,常要对遥感图像进行无损压缩存储,但是由于遥感图像自身的特点,其能够达到的无损压缩效率一直较低。文中探讨了利用小波变换对遥感图像进行压缩的技术,并研究三维整型DCT变换的无损压缩方法。 With the rapid development of remote sensing technology the remote sensing image is used increasingly in the field of land and resources investigation. The limited channel capacity can not meet the demand for transmitting the great quantity of remote sensing data. Lossless compression of remote sensing image is used to satisfy the demand of the appplication. Dut to its characteristics the remote sensing image has long been in low efficiency of lossless compression. This paper discusses the lossless compression techniques of remote sensing image by means of little wave transformation and 3D-DCT transformation.
作者 刘芬 杨济安
机构地区 重庆邮电大学
出处 《通信技术》 2007年第7期6-8,共3页 Communications Technology
关键词 遥感图像 无损压缩 整数小波变换 层树集合分割 remote sensing lossless compression integer wavelet SPIHT
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