计算机应用与软件Issue(9)：194-197,4.DOI:10.3969/j.issn.1000-386x.2014.09.048
一种新的基于压缩传感理论解决Pan-Sharpening问题的算法
A NEW ALGORITHM FOR PAN-SHARPENING SOLUTION BASED ON COMPRESSED SENSING THEORY
摘要
Abstract
This paper studies the remote sensing image Pan-Sharpening problem from the perspective of compressed sensing (CS)theory,which ensures that with the sparsity regularization (minimization problem of l0 -norm ).We can describe a Pan-Sharpening problem asfollows:a low resolution multi-spectral image and a high resolution panchromatic image can be fused to obtain a high resolution multi-spectralimage.By using the CS theory,a model of Pan-Sharpening problem is constructed in our paper.Then we propose the algorithm based on theDiscrete Cosine Transform (DCT)matrix.As a dictionary,the standard DCT matrix has been used to solve the Pan-Sharpening problem inthe algorithm,we use some post-processing algorithms to deal with blocking artifact,color bias and washing effect problems.The proposedalgorithm are tested on QuickBird images with other classic algorithms.The result shows that compared to others algorithms,the proposedalgorithms outperforms in effects.关键词
Pan-Sharpening/数字图像处理/离散余弦变换/压缩传感Key words
Pan-Sharpening/Digital image processing/Discrete cosine transform/Compressed sensing分类
信息技术与安全科学引用本文复制引用
简智涵,曹淼科,沈超敏,张桂戌..一种新的基于压缩传感理论解决Pan-Sharpening问题的算法[J].计算机应用与软件,2014,(9):194-197,4.基金项目
国家自然科学基金项目（11101260，61273298）；国家重点基础研究发展计划项目 （）
