摘要
小波变换是遥感图像处理技术中的一项重要技术,如何利用小波变换技术遥感图像进行处理是在图像处理技术中有着广泛的应用前景。本文以图像处理技术存在一定的瓶颈、遥感图像的广泛应用、信息融合技术为研究背景,较深入的对遥感图像特点进行分析、基于纹理一致性测度对遥感图像进行融合进行了研究,主要研究的内容包括:
1、对遥感图像进行了系统的研究。全面总结了遥感图像的特点,遥感目标的特征。由于遥感图像最为显著的特点是数据量大和图像信息丰富,而遥感技术是目前为止能够提供动态观测数据的唯一手段,因此,遥感图像处理方法的研究对于民用和军事领域都是至关重要的。
2、详细地介绍了小波变换的相关概念、遥感图像成像、处理遥感图像的意义、图像处理应用的现状、小波变换在遥感图像处理中的应用,以及目前国内外遥感图像处理技术的发展现状。针对原始图像影像本身在成像过程中由于种种的原因引起的图像质量的问题,本文讨论了遥感图像在处理前需要进行的前期处理步骤(包括几何校正、去噪等)处理步骤。并基于小波变换对遥感图像进行边缘检测、图像融合,并对各种融合图像的效果进行分析,得出结论。
3、对像素级图像中的平滑滤波、高通滤波融合法、小波变换等方法进行了详细的讨论。叙述了小波基函数、连续小波变换、离散小波变换、二进小波变换、二维小波变换、多分辨分析小波变换理论。讲述了小波分解的选取对遥感图像处理结果的影响,为小波基函数和小波分解的选择提供了依据,并通过实验和对其特点和性能进行分析后做了详细的对比,结果表明:基于小波变换方法对遥感图像的处理在图像的纹理和结构信息上可以得到很好地保持,还可以使遥感图像的光谱特征信息也保持非常完整。
Wavelet transform is a remote sensing image processing technology in an important technology, how to use wavelet transform image processing of remote sensing image processing technology in a broad application prospects. In this paper, there is a certain image processing bottleneck, the extensive application of remote sensing, information fusion technology research background, more in-depth features on the remote sensing image analysis, texture homogeneity measure based on the fusion of remote sensing images have been studied, we study include:
1、The remote sensing images of the system. A comprehensive summary of the characteristics of remote sensing images, remote sensing target features. As the remote sensing images is the most remarkable features of large data and image information-rich, and remote sensing technology is now able to provide the only means of dynamic observation data, therefore, remote sensing image processing method for the civilian and military fields is vital .
2、Detailed description of the wavelet transform concepts, remote sensing images imaging, the significance of remote sensing image processing, image processing, the status of applications, wavelet transform in remote sensing image processing applications, and the current domestic and foreign remote-sensing image processing technology status. Image for the original image in the imaging process itself causes a variety of image quality issues are discussed before the need for remote sensing image processing carried out in the pre-processing steps (including geometric correction, denoising, etc.) processing steps. And remote sensing image based on wavelet edge detection, image fusion, and the effects of various fusion image analysis, draw conclusions.
3、On the pixel-level image filtering, high pass filter fusion, wavelet transform methods are discussed in detail. Describes the wavelet function, continuous wavelet transform, discrete wavelet transform, dyadic wavelet transform, wavelet transform, multiresolution analysis, wavelet transform theory. About the selection of the wavelet decomposition of the results on the impact of remote sensing image processing for the wavelet function and wavelet decomposition provides the basis for selection, and through experiments and their characteristics and performance analysis a detailed comparison, the results show that: based on wavelet transform the image processing of remote sensing image texture and structure information can be well maintained, but also to the spectral characteristics of remote sensing images also maintained very complete information.
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