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基于信息量的ALI影像最佳波段选择及融合研究
引用本文:王琴,;陈蜜,;刘书军,;张鹏程. 基于信息量的ALI影像最佳波段选择及融合研究[J]. 资源开发与市场, 2014, 0(9): 1027-1029
作者姓名:王琴,  陈蜜,  刘书军,  张鹏程
作者单位:[1]首都师范大学三维信息获取与应用教育部重点实验室,北京100048; [2]首都师范大学资源环境与旅游学院,北京100048; [3]北京市城市环境过程与数字模拟国家重点实验室培育基地,北京100048
基金项目:国家自然科学基金资助项目(编号:41201419).
摘    要:分析了EO-1 ALI多光谱遥感影像各个波段的信息特征,根据信息量大小和波段间的相关性,联合偏度—峰度指数JSKF,提出针对ALI图像新的最佳波段组合方法。在最佳波段组合下对ALI多光谱数据与全色数据分别进行IHS、HPF、PCA和Wavelet变换融合,从信息量角度出发,按照定量指标对融合前后的遥感影像进行评价,并对融合前后影像进行分类应用。

关 键 词:ALI  波段选择  交互熵  影像融合  分类应用

Optimal Bands Selection and Fusion Research of ALI Images Based on Amount
Affiliation:WANG Qin, CHEN Mi, LIU Shu-jun, ZHANG Peng-cheng (1. Capital Normal University a. 3D Information Acquisition and Application Key Laboratory of the Ministry of Education; b. The Institute of Resources, Environment and Tourism, Beijing 100048, China; 2. State Key Laboratory Cultivation Base of Urban Environment Process and Digital Simulation of Beijing, Beijing 100048, China)
Abstract:Analyzing the characteristics of information of multi spectral remote sensing image of each band of EO - 1 ALI, according to the amount of information and the correlation of each band, combined with skewness - kurtosis index JSKF(Joint Skewness - Kurtosis Eigure), this paper raised the combined method for ALI images new best band. ALI in a combination of optimal banded the IHS panchromatic and muhispectral data separately, HPF, PCA and Wavelet transformed the integration from perspective of information, in accordance with the quantitative indicators to evaluate the remote sensing image fusion and application to categorize the images before and after integration.
Keywords:ALI  band selection  interacting entropy  image fusion  classification
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