多光谱图像

• With the expanding scope of the application fields of remote sensing in recent years , multispectral images cannot meet the increasing demand for scientific researches
  近年来,随着遥感技术应用领域的不断扩大,以往的多光谱图像数据已经不能满足人们日益增长的科研和生产需求。
• Compared to multi - spectral image , hyperspectral image is high spectral resolution , narrow band , and has many bands . it can distinguish targets with reliability
  与多光谱图像相比,高光谱图像光谱波段数目多、光谱分辨率高、波段宽度窄,能够以较高的可信度区分和辨识地物目标。
• In this paper , some theories and methods of compression of multispectral images are reviewed and researches on multispectral remote - sensing image compression by karhunen - loeve transformation ( klt ) and neural network are discussed
  本文在对一些目前已有的多光谱图像压缩方法进行深入研究的基础上，分别利用k - l变换和神经网络的方法实现了遥感图像的压缩。
• To transmit as more data as possible with the limited channel capability , every country which keep ahead in the field of deep space exploring pay more and more attention to the research of compression of space data
  为了在有限的信道容量下能够传输更多的信息,各个航天大国也都越来越重视空间数据压缩技术的研究。其中,多光谱图像由于其信息量大而成为空间数据压缩的主要研究内容。
• The result of the estimation demonstrated that the fused images had higher spatial resolution while maintaining the basic spectral contents of the original tm images , and the visual effect and the accuracy of the classification bad been greatly enhanced
  评价结果显示，融合后的图像既保留了多光谱图像的丰富光谱信息，又不同程度提高了空间分辨能力，很大程度上改善了目视解译效果和自动分类效果。
• This method can effectively merge the high - resolution panchromatic image approximation into the multi - spectral image approximation using fusion factor by means of multi - resolution wavelet decomposition , which can make an improvement on mallat wavelet merger method
  该方法通过融合因子有效地将高分辨率图像经小波分解的低频分量信息融合到多光谱图像经小波分解的低频分量中去，实现了对已有mallat小波融合方法的改进。
• 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。
• 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。
• The main content of this paper is compress arithmetic of multi - spectral image , and the implement with fpga . in the phase of preprocess , the paper analyses the characteristics of multi - spectral image , classifies data redundancy to two classes : spatial - redundancy and spectral - redundancy , afterwards , eliminates these data redundancy with different forecast models
  在预处理阶段,本论文分析了多光谱图像的数据特点,将多光谱图像数据中存在的数据冗余分为两大类:空间冗余和谱间冗余,再针对每种冗余使用相应的预测模型消除数据相关性。
• In this paper , we made an investigation into texture feature extraction and classification based on statistic method and its application in multi - spectral image classification . the research works of this paper have been done as follows : firstly , in order to overcome the weakness of gray level co - occurrence matrix ( glcm ) , a new unsupervised texture segment algorithm , based on multi - resolution model , is presented in this thesis
  本文主要研究了基于纹理统计特性的特征提取与分割方法,并将其用于实际的多光谱图像分类,具体工作如下:第一,针对传统灰度共现阵方法中特征提取的尺度单一问题,本文提出了一种多分辨无监督纹理分割算法。