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遥感技术与应用  2013, Vol. 28 Issue (3): 437-443    DOI: 10.11873/j.issn.1004-0323.2013.3.437
专题报道     
基于光谱角和光谱距离评价指标的遥感影像融合方法比较研究——以QuickBird数据为例
郑中1,2,祁元1,张金龙1
(1.中国科学院寒区旱区环境与工程研究所,甘肃 兰州 730000;2.中国科学院大学,北京 100049)
Comparing with Different Remote Sensing Image Fusion Method based on Evaluation Index of Spectral Angle and Spectral Distance——Taking QuickBird Data as Example
Zheng Zhong1,2,Qi Yuan1,Zhang Jinlong1
(1.Cold and Arid Regions Environmental and Engineering Research Institute,Chinese Academy of Sciences,Lanzhou 730000,China;
2.University of Chinese Academy of Sciences,Beijing 100049,China)
 全文: PDF(3674 KB)  
摘要:

遥感数据融合是一种得到具有较高空间分辨率和光谱分辨率数据的有效方法,而如何保持地物光谱特性是遥感数据融合的关键问题。QuickBird卫星数据是高空间分辨率遥感数据的典型代表,探讨QuickBird数据的融合方法对于促进该数据的广泛应用具有重要意义,同时也能为其他高分辨率数据的处理提供借鉴。以QuickBird高分辨遥感数据为例,比较研究了目前针对高分辨率遥感数据常用的高通滤波、小波变换、Gram\|Schmidt和Pan\|sharpening 4种融合方法,以反映光谱曲线变化程度的光谱角和光谱距离为指标,评价了4种融合方法对多光谱影像地物光谱信息的保持能力。结果表明:小波变换在显著提高空间分辨率的同时最大程度地保持了原始多光谱影像的光谱信息,是4种方法中最适合QuickBird遥感数据的融合方法。

关键词: QuickBird影像融合光谱角光谱距离    
Abstract:

Image fusion is a kind effective way which gets higher spatial resolution and spectral resolution,How to keep the spectral characteristics of different ground targets is the key of Image fusion.QuickBird is classic high space resolution satellite data,and studying on the practical methods for QuickBird data pretreatment and fusion has great significance in prompting the QuickBird data application.In this study,taking QuickBird data for example,comparison is made with four fusion algorithms suited for high spatial resolution remote sensing image,including High-pass filter,Wavelet,Gram-Schmidt and Pan-sharpening,and spectral angle and spectral distance that reflect different ground targets spectral curve diversification before fusion and later are used for quantificational assessment.Experimental results show that Wavelet fusion algorithm can improve spatial resolution while maintaining maximum spectral information of the original multispectral image,and it is the most suitable for QuickBird data fusion.

Key words:  QuickBird    Image fusion    Spectral angle    Spectral distance
收稿日期: 2012-12-20      http://westdc.westgis.ac.cn/data/90cd57ef-943c-4ab4-9db5-caa7deeaccbb 出版日期: 2013-07-05
:  TP 75  
基金资助:

国家自然科学基金重大研究计划“黑河流域生态—水文过程集成研究”重点项目群“黑河流域生态—水文过程综合遥感观测试验”(91125001,91125002,91125003,91125004)。

通讯作者: 祁元(1974-),男,青海西宁人,副研究员,硕士生导师,主要从事遥感与GIS研究。Email:qiyuan@lzb.ac.cn。    
作者简介: 郑中(1988-),男,四川达州人,硕士研究生,主要从事定量遥感研究。Email:zhengzhong@lzb.ac.cn。
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引用本文:

郑中,祁元,张金龙. 基于光谱角和光谱距离评价指标的遥感影像融合方法比较研究——以QuickBird数据为例[J]. 遥感技术与应用, 2013, 28(3): 437-443.

Zheng Zhong,Qi Yuan,Zhang Jinlong. Comparing with Different Remote Sensing Image Fusion Method based on Evaluation Index of Spectral Angle and Spectral Distance——Taking QuickBird Data as Example. Remote Sensing Technology and Application, 2013, 28(3): 437-443.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2013.3.437        http://www.rsta.ac.cn/CN/Y2013/V28/I3/437

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