摘要随着遥感技术的不断发展，人们获取信息的方式也多种多样，多光谱遥感作为其 中最重要的信息获取手段，一直被人们所重视。其中最常用到的就是 Landsat 系列卫 星数据，其自带的传感器有着较高分辨率，能为人们提供了丰富的对地观测数据。73973

合成雷达孔径（SAR）其特有的成像机理和对地物信息的属性描述及其全天时、 全天候作业能力，形成了对传统多光谱遥感数据的互补。SAR 图像空间分辨率高、 纹理信息多；多光谱图像光谱信息丰富、但成像易受天气影响。因此通过数据融合技 术，可以提高多光谱遥感图像的空间分辨率、改善配准精度、增强特征、改善分类， 还可以优化遥感信息资源，实现多卫星遥感数据的优势互补，使遥感信息得到最大限 度的利用，从而为地学研究中的各种模型方法和决策系统提供科学依据。

本论文利用最近发射的 ALOS-PALSAR2 卫星与 Landsat8 多光谱数据，选择东京 城区和马来西亚森林两个研究区，通过主分量变换融合法、乘积变换融合法、比值变 换融合法和 IHS 变换融合法四种种融合方法进行影像融合，得到四种不同的方法融合 后的图像，并对融合结果进行定性和定量评价评价。通过目视判断和定量分析，主成 分变换法是本研究中最适宜的方法。

毕业论文关键词： 遥感，Landsat，多光谱，ALOS-PALSAR，影像融合

Abstract With the development of remote sensing technology, people can obtain information in various ways, multi spectral remote sensing as one of the most important information acquisition means, has been valued by the people。 One of the most commonly used is Landsat series data, its own sensor has a higher resolution and can provide people with rich earth observation data。

Its unique synthetic aperture radar (SAR) imaging  mechanism  and properties of feature information is described and its all-time and all-weather operation ability, forming a high complementarity of SAR image space resolution of traditional multi spectral remote sensing data, texture information; abundant spectral information。 But the image is easily affected by the weather。 The data fusion technology can improve the spatial resolution of multispectral remote sensing image, improve the registration accuracy, enhanced features, improve the classification, but also can optimize resource remote sensing information, realize the complementary advantages of multi satellite remote sensing data, to maximize the use of remote sensing information, so as to research in all Model method and decision system to provide scientific basis。

In this paper the recently launched ALOS-PALSAR2 satellite and landsat8 multi spectral data, choose downtown Tokyo and Malaysia forest two study area, through the principal component transform fusion  method, multiplicative transform fusion method, ratio transformation fusion method and IHS transform fusion method of four kinds of fusion method for image fusion, four different methods of fusion image and to qualitative and quantitative evaluation of fusion results。 By visual judgment and quantitative analysis, the method of the principal component transform is the study of the most suitable method。

Keywords: remote sensing, Landsat, multi spectral, ALOS-PALSAR, image fusion

目 录

摘 要 I

Abstract II

1 绪 论 1

1。1 遥感影像融合概述 1

1。2 国内外研究现状