压缩域遥感图像融合方法研究  

On the Fusion of Remote Sensing Image Based on the Block Compressed Sensing and Wavelet Transform

作　　者：杨森林[1] 崇鑫[2] 张变莲[1] 

机构地区：[1]西安文理学院物理与机械电子工程学院,西安710065 [2]艾默生网络能源(西安)有限公司,西安710075

出　　处：《西安文理学院学报（自然科学版）》2013年第2期1-5,共5页Journal of Xi’an University(Natural Science Edition)

基　　金：陕西省自然科学基础研究计划项目(2012jq5006);陕西省教育厅自然科学研究项目(12JK1108);西安文理学院教育教学改革题目(2010B003)

摘　　要：给出了基于压缩感知的全色和多光谱图像融合方法.分块压缩感知实现速度快、存储需求小,为海量遥感数据的压缩测量提供了有效策略.同时,利用小波变换的多分辨率特性,实现了压缩采样的多尺度融合.最后采用全变分技术重构融合图像.实验结果表明,与传统小波融合方法相比较,所提方法融合结果具有更高的空间分辨率和更好的光谱相关性.In this study, a fusion strategy for panchromatic high resolution images and multi- spectral images is presented based on the block compressed sensing （ BCS ） and wavelet trans- form. Since the BCS enables fast computation and small memory requirement, the remote sens- ing images with large amounts of data can be compressively sampled by the BCS. Simultaneous- ly, taking full advantage of wavelet such as multi - resolution, the compressive measurement of remote sensing images is fused by the wavelet transform. And finally, the fused image is recon- structed by the minimization of total variance method. Experimental result shows that the pro- posed method can achieve a fusion with a higher spatial resolution and better spectral correla- tion than the conventional wavelet- based fusion method.

关 键 词：压缩感知 小波变换 遥感 图像融合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]