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基于小波变换与图像不变矩的遥感图象匹配研究
引用本文:陈宇玺,韩崇昭,王明军,康欣.基于小波变换与图像不变矩的遥感图象匹配研究[J].电波科学学报,2004,19(4):444-447.
作者姓名:陈宇玺  韩崇昭  王明军  康欣
作者单位:1. 西安交通大学电信学院,陕西,西安,710049
2. 西安建筑科技大学,陕西,西安,710055
基金项目:国家重点基础研究发展计划(973计划)
摘    要:小波变换具有数据压缩和检测局部突变的能力,而图像空间不变矩对于平移、旋转、比例缩放、灰度对比度变化具有不变性.两者优势的结合不但可以有效减少遥感图像匹配的计算量,而且还可以减弱对于图像采集平台拍摄方位、拍摄距离、角度气象条件等的依赖性,提高算法的实用性.

关 键 词:图像不变矩  小波变换  目标识别
文章编号:1005-0388(2004)04-0444-04
修稿时间:2003年12月30

A study of remote sensing image matching based on combination of wavelet transformation and image invariant moment
CHEN Yu-xi,HAN Chong-zhao,WANG Ming-jun,KANG Xin.A study of remote sensing image matching based on combination of wavelet transformation and image invariant moment[J].Chinese Journal of Radio Science,2004,19(4):444-447.
Authors:CHEN Yu-xi  HAN Chong-zhao  WANG Ming-jun  KANG Xin
Affiliation:CHEN Yu-xi 1 HAN Chong-zhao 1 WANG Ming-jun 2 KANG Xin 1
Abstract:A study on remote sensing image matching based on combination of wavelet transformation and image invariant moment is discussed. The wavelet transformation is capable of compressing the image and detecting its mutation. The image spatial invariant moment is well applicable to image translation, rotation, scale variation and contrast change. Combination of these two methods can effectively reduce computation cost for image matching and the dependence on image acquisitive position, direction, atmosphere condition etc. It improves the algorithm applicability.
Keywords:image invariant moment  wavelet transformation  target recognition
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