| 高分辨率遥感影像的实时压缩算法 |
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| 引用本文： | 李飞鹏,杨志高,秦前清,李德仁.高分辨率遥感影像的实时压缩算法[J].武汉大学学报(信息科学版),2004,29(3):259-263. |
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| 作者姓名： | 李飞鹏 杨志高 秦前清 李德仁 |
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| 作者单位： | 武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079 |
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| 基金项目： | 测绘遥感信息工程国家重点实验室主任基金资助项目 (WKL10 0 70 40 1) |
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| 摘 要： | 针对遥感影像的特点 ,采用整数小波变换、最优比特平面编码和上下文相关熵编码 ,实现高分辨率光学遥感影像的快速压缩。该算法支持多分辨率、多信噪比的嵌入式码流结构 ,可实现从无损到有损任意码率或多种质量的图像编码。实验表明 ,该算法简单高效 ,可满足遥感影像远程传输中实时压缩的要求
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| 关 键 词： | 实时压缩 整数小波变换 比特平面编码 |
| 文章编号： | 1671-8860(2004)03-0259-05 |
| 修稿时间： | 2003年12月27 |
Real-Time Compression of High-Resolution Remote Sensing Image |
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| LI Feipeng,YANG Zhigao,QIN Qianqing,LI Deren.Real-Time Compression of High-Resolution Remote Sensing Image[J].Geomatics and Information Science of Wuhan University,2004,29(3):259-263. |
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| Authors: | LI Feipeng YANG Zhigao QIN Qianqing LI Deren |
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| Institution: | LI Feipeng 1 YANG Zhigao 1 QIN Qianqing 1 LI Deren 1 |
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| Abstract: | A reversible compression scheme for high-resolution remote sensing image is introduced. The method involves four steps. First, the whole image is divided into small blocks. Second, an integer wavelet transform is used to obtain a set of biorthogonal subclasses of images, and the image block is decomposed into a six-level pyramidal representation with Mallat algorithm. Third, an optimal bit-allocation process is applied to computer the appropriate bit-rate for each subband. Finally, the wavelet subbands are encoded with a Bit-Plane Coding. It can be used to compress image at arbitrary bit rate. In the experiment, the authors select one aerial photo and four satellite images, from SPOT5, IKONOS, Landsat, China Earth Resource satellites, respectively, to test the performance of the algorithm. The experiment shows that the algorithm is as efficient as JPEG2000, despite its simplicity. |
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| Keywords: | real-time compress integer wavelet transform bit-plane coding |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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