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遥感技术与应用  2009, Vol. 24 Issue (5): 588-595    DOI: 10.11873/j.issn.1004-0323.2009.5.588
技术研究与图像处理     
伪不变特征法在遥感影像归一化处理中的应用
郭丽峰,高小红,亢 健,孟小前
青海师范大学,青海 西宁 810008
Application of the Pseudo-invariant Feature in NormalizationProcess of the Remote Sensing Images
GUO Li-feng,GAO Xiao-hong,KANG Jian,MENG Xiao-qian
Qing Hai Normal University,Xining 810008,China
 全文: PDF(2718 KB)  
摘要:

提出了一套伪不变特征法(PIF)归一化处理多时相遥感影像的技术流程和方法: 即参考影像选择,参考影像大气辐射校正,伪不变特征点选取,回归模型建立及结果评价,并对处理流程中的各个环节加以详细说明。其中在样本点选取过程中尝试把人工直接选取伪不变特征点应用于实践,并用主成分分析法对处理结果进行评价,评价结果表明人工直接选取伪不变特征点,对多时相遥感影像进行归一化处理是可行的,达到了消除季节性地物辐射变化、太阳光照条件差异、气象条件(大气散射、吸收和云量变化等)波动大等因素的影响,处理后的影像能满足建立模型的要求。

关键词: 伪不变特征法 遥感影像 归一化处理    
Abstract:

In this paper,a method to normalize the multi-temporal remote sensing images using pseudo-invariant feature was developed. The main processes include the selecting of reference image, correction of atmospheric radiation, the selecting of Pseudo-invariant feature points, establishing the regression model and estimating the result. The operating procedure was introduced in detail. The pseudo-invariant feature points chosen with artificial method were used in practice. The results were evaluated with principal component analysis. The result of evaluation indicated that the artificial method for choosing Pseudo-invariant feature points is feasible in the normalization process of the Multi-Temporal Remote Sensing Images | The method reduced the influences of some factors such as the seasonal variety of surface radiation, the difference of lighting condition and the great fluctuation of meteorology condition (atmospheric scattering and assimilating, change of cloud cover). The processed images can meet the demands of the model.

Key words: Pseudo-invariant feature    Remote sensing images    Normalization process
收稿日期: 2009-05-23 出版日期: 2010-08-24
基金资助:

中国科学院西部之光项目(2006),国家自然科学基金项目(40861022)

作者简介: 郭丽峰(1980-),女,硕士研究生,主要从事遥感应用与地理空间数据分析研究。E-mail:guolifeng912@163.com
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引用本文:

郭丽峰, 高小红, 亢 健, 孟小前. 伪不变特征法在遥感影像归一化处理中的应用[J]. 遥感技术与应用, 2009, 24(5): 588-595.

GUO Li-Feng, GAO Xiao-Hong, KANG Jian, MENG Xiao-Qian. Application of the Pseudo-invariant Feature in NormalizationProcess of the Remote Sensing Images. Remote Sensing Technology and Application, 2009, 24(5): 588-595.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2009.5.588        http://www.rsta.ac.cn/CN/Y2009/V24/I5/588

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