四川师范大学学报（自然科学版）2011，Vol.34Issue(2)：255-259,5.DOI:10.3969/j.issn.1001-8395.2011.02.024
基于不同算法的遥感影像融合分析
Analysis of Remote Sensing Image Fusion Based on Different Algorithms
摘要
Abstract
Remote sensing (RS) image fusion makes the image has high resolution and abundant spectrum information, and the fusion algorithm is a study hot spot in RS field in recent years.Though many fusion algorithms for different RS images have been put forward, the fidelity of spectrum information and the fusion degree of spatial information are still focus issues in fusion algorithm study.Therefore, it is necessary for researchers to evaluate the effect of different fusion algorithms.In tiffs paper, ETM + image is selected based on ENVI software platform.The fusion results of panchromate and multi-spectra are quantitatively evaluated and the best fusion algorithm is discussed by different fusion algorithms, such as PCA, Multiplicative, Brovey and Wavelet transformations applied for different index, such as average value, standard deviation,deviation index, and relative coefficient.The result shows that Wavelet transformations is the best fusion algorithm, and Mnltiphcative transformations is better than Brovey and PCA.This result has laid a foundation to make full use of the panchromatic high resolution and multi-spectral charactristics, and to mine data potential.关键词
ETM+影像/数据融合/算法/全色与多光谱/定量评价Key words
ETM + image/ data fusion/ algorithm/ panchromate and multi-spectrum/ quantitative evaluation分类
天文与地球科学引用本文复制引用
王广杰,周介铭,杨存建,赵景峰..基于不同算法的遥感影像融合分析[J].四川师范大学学报（自然科学版）,2011,34(2):255-259,5.基金项目
国家"863"计划(2009AA12Z140)、国家自然科学基金(40771144和40575035)和四川省教育厅重点科研基金(09ZA088)资助项目 （2009AA12Z140）
