Image transformation based change detection technique is one kind of the most important techniques for multispectral images . traditional image transformation methods are based on orthodoxy theory , which might be difficult in deal with higher order dependences in multitemporal images 图像变换是实现多光谱遥感图像变化检测的一类重要方法,现有变化检测所使用的图像变换方法基本上都是基于正交变换,难以处理图像间的高阶相关信息。
Afterwards , in order to decrease the contradiction between the more complex and mass remote sensing image data and relatively slow speed of information extraction , an improved sfim image fusion method is proposed . this modified algorithm is on the base of sfim fusion technique , combines ihs method and sfim method and then replaces the former mean filter by an adaptive weighted mean filter . compared with the results of several common fusion techniques through a set of simulation tests between multispectral images and panchromatic images , it is proved that the new method can get an excellent result for the aim of improving spatial resolution while preserving the spectral information of multispectral images 论文的主要工作和成果包括：在像素层，论文研究了多传感器数据融合理论及遥感图像预处理的过程和步骤，归纳了多源遥感图像像素层融合的常用算法，并针对目前遥感数据呈海量化、复杂化这一发展趋势同遥感信息提取的能力和效率滞后这一矛盾，在sfim算法的基础上，将ihs变换与sfim相结合，将原算法中的均值滤波器改进为自适应加权均值滤波器，提出了一种改进的sfim算法，通过对一组多光谱图像和全色图像的双传感器融合仿真对比试验，证明了该算法在保持原多光谱图像光谱信息的同时，能够有效提高融合图像的空间分辨能力。
The experiment results from practical multispectral images have shown that this algorithm is efficient . if the original image is reconstructed by five eigen subimages , the nearlossless compression ratio is above 11 for the data used in this paper and the psnr is more than 45db 实验结果表明，对机载64波段多光谱遥感图像进行k - l变换和整数小波变换后，选用五个本征子图像重建原图像，压缩比可以达到11以上，峰值信噪比则超过45db ，取得了其它方法无法获得的效果。
Secondly klt and reversible integer - to - integer wavelet transform for image compression are discussed , and a method of nearlossless compression of multispectral images is given , which combines klt and integer wavelet transform together . the spatial redundancy in the images is removed by klt and the inter - band redundancy is removed by the integer - to - integer wavelet transform 接着详细研究了k - l变换原理和整型小波的构造方法，编程实现了结合k - l变换和整数小波变换的多光谱图像压缩算法，该算法将k - l变换用于去除多光谱遥感图像的谱间冗余，在谱内则使用整型小波方法去除空间冗余。
By in - depth research of image texture and its application in multispectral image fusion , significant central coefficient ( scc ) algorithm based on redundant wavelet texture is proposed and its performance is tested to be also superior to the congeneric algorithms in the way of enhancing fusion quality 通过对图象纹理及其在多光谱图象融合中作用的深入研究，作者又提出了一种基于冗余小波纹理特征的重要中心系数( scc )融合算法，通过与其它同类融合算法结果的比较证明了该算法在提高融合结果质量上的先进性。
In this paper , i establish a set of updating the basic land - use map technology and flow after i go deep into studying the methods of updating the basic land - use map based on 3s technology . it is very important point that i bring forward some methods of change information automatic detected founding on land - use map unit , cross correlation analysis with multispectral image and object - oriented classification aiming at difference data and difficult identifying change information problems . and then , i compile the programme and practise validating to examine technics flow 本文在深入研究了基于3s技术更新土地利用图件的方法基础上，从实用化的角度出发，建立了一套利用3s技术更新土地利用基础图件的技术流程与方法，并针对不同的数据情况和变化信息自动提取等问题提出了基于土地利用图斑单元的知识库变化信息自动发现方法、多波段遥感影像交叉相关分析变化识别方法及面向对象的遥感影像分类变化检测方法。
Due to the superior multiresolution analytical characteristics of wavelet transform in time and frequency domains and the color enhancement effect of ihs transform for multispectral images , image fusion algorithms based on ihs and wavelet transform have become the main stream in multispectral remote sensing image fusion 由于小波变换在时频域卓越的多分辨率分析特性和ihs变换对多谱图像的彩色增强作用,基于ihs和小波变换的图像融合算法已经成为目前多光谱遥感图像融合技术的主流。
