建立医院间PACS系统的技术和实现

介绍了建立医院和医院之间PACS系统的意义；信息传输技术的不断发展，为建立院间PACS系统提供了物质基础，采用固定IP地址的中间存储空间和采用适当无损压缩方法是建立院间PACS系统的关键。     

Research on scale effect of histogram

To describe the spatial relationship among the earth objects compactly, in this paper, we raised the concept of histo-variogram based on the analysis of the characteristics of other spatial analyzing methods such as variogram, information entropy. And we also raised a new spatial analysis method of histogram decomposition based on the definition of standing pixel and contour pixel. At the end of this paper, we demonstrated the characteristics of histo-variogram by two experiments, one for spatial analysis, the other for image fusion.     

基于小波变换和HIS变换的海冰SAR与光学遥感影像融合方法研究

Sea ice as a disaster has recently attracted a great deal of attention in China. Its monitoring has become a routine task for the maritime sector. Remote sensing, which depends mainly on SAR and optical sensors, has become the primary means for sea-ice research. Optical images contain abundant sea-ice multi-spectral information, whereas SAR images contain rich sea-ice texture information. If the characteristic advantages of SAR and optical images could be combined for sea-ice study, the ability of sea-ice monitoring would be improved. In this study, in accordance with the characteristics of sea-ice SAR and optical images, the transformation and fusion methods for these images were chosen. Also, a fusion method of optical and SAR images was proposed in order to improve sea-ice identification. Texture information can play an important role in sea-ice classification. Haar wavelet transformation was found to be suitable for the sea-ice SAR images, and the texture information of the sea-ice SAR image from Advanced Synthetic Aperture Radar(ASAR) loaded on ENVISAT was documented. The results of our studies showed that, the optical images in the hue-intensity-saturation(HIS) space could reflect the spectral characteristics of the sea-ice types more efficiently than in the red-green-blue(RGB) space, and the optical image from the China-Brazil Earth Resources Satellite(CBERS-02B) was transferred from the RGB space to the HIS space. The principal component analysis(PCA) method could potentially contain the maximum information of the sea-ice images by fusing the HIS and texture images. The fusion image was obtained by a PCA method, which included the advantages of both the sea-ice SAR image and the optical image. To validate the fusion method, three methods were used to evaluate the fused image, i.e., objective, subjective, and comprehensive evaluations. It was concluded that the fusion method proposed could improve the ability of image interpretation and sea-ice identification.     

资源一号02C与Landsat8影像融合方法对比分析

针对以往关于资源一号02C和Landsat8卫星影像数据融合的研究不足的问题,该文利用前者在空间分辨率上高于后者、后者具有前者所不具有的光谱信息这一特性,选取主成分变换法、比值变换法、色彩变换法、高通滤波法和超分辨率贝叶斯法5种融合方法,分别对两种数据本身及数据间进行融合,并利用定性与定量的方法对融合结果进行评价,得出:资源一号02C星全色波段与多光谱波段数据融合结果中高通滤波法与超分辨率贝叶斯法效果较好,Landsat8OLI全色波段与多光谱数据融合结果中高通滤波法效果最好,资源一号02C星全色波段与Landsat8OLI多光谱数据融合结果中高通滤波法效果最好。     

基于IHS的多源遥感数据融合

首先简要叙述了IHS法在遥感图像融合中的应用,然后对实验结果进行了分析,并用融合后的图像建立了土地利用类型的解译标志,以期为HIS法用于遥感图像融合提供参考。     

基于HSI色彩空间的资源三号影像阴影检测

由于遥感影像上某些区域的光照辐射不足,不可避免地会产生阴影,阴影意味着图像信息的损失,而遥感影像的阴影检测在地物的识别和影像匹配方面具有重要意义。本文主要介绍的是基于HIS色彩空间的阴影检测方法,在检测过程中,根据阴影高色调低亮度的特性,结合大津法计算比值图像最佳阈值进行遥感影像阴影检测,并且在RGB色彩空间计算G分量的最佳阈值来排除树木植被和一些非阴影区域对阴影检测的影响。同时采用国产高分辨遥感卫星——资源三号的同一地区不同季节和不同太阳高度角的遥感数据进行阴影的对比检测。实验结果表明:本文基于HIS色彩空间的阴影检测方法可以快速有效地检测出影像上的阴影,并且能区分树木、河流等暗色物体。     

基于小波-HIS的遥感影像融合方法技术研究

小波是建立在泛函分析、调和分析、傅立叶分析基础上的时频原子,在时域、频域同时具有良好的局部化特性和多分辨率特性。遥感影像融合是遥感影像处理中的重要环节,是人们处理多源遥感影像数据的主要手段之一,而融合方法的选择对融合结果来说至关重要。将传统的融合方法与小波结合已经成为研究的热点,本文将小波变换与HIS融合方法相结合,并...     

a'Trous小波与HIS变换相结合的遥感影像融合分析

采用a'trous小波与HIS变换相结合的方法对Aster多光谱影像和资源二号全色影像进行融合实验和评价,并与传统的HIS变换和小波变换融合方法加以对比.结果表明:a'trous小波与HIS变换相结合的融合效果最好,吸取了两种单一融合方法的优点,不仅较大程度上提高了原始影像的空间细节表达能力,而且很好地保留了原始影像的...     

基于Roberts梯度与HIS色彩空间的SAR图像伪彩色编码

针对SAR灰度影像信息不丰富,不利于解译识别的问题,提出了一种基于Roberts梯度与HIS色彩空间的SAR图像伪彩色编码算法。首先,计算SAR图像的梯度图像,并确定梯度阈值T;然后,比较像素梯度与阈值的大小,大于阈值的像素按照Roberts梯度方法编码,否则按照基于HIS色彩空间方法编码;最后,对两种编码结果进行合成,得到最终伪彩色SAR图像。利用TerraSAR-X影像数据进行了实验验证,结果表明:本文研究的方法均能达到很好的伪彩色编码效果。     

Worldview-Ⅱ遥感影像的阴影检测方法研究

针对HIS空间变换阴影检测方法仅利用三原色波段数据进行阴影检测而未考虑影像数据之间的相关性及冗余度这一问题,该文结合最佳指数法提出一种适用于多光谱的Worldview-Ⅱ遥感卫星影像阴影检测方法,并引进归一化水体差异指数剔除掉水体的干扰,构建出适用于阴影检测的波段指数模型。实验结果表明,该方法针对Worldview-Ⅱ影像具有普适性,且相对于利用三原色数据进行阴影检测方法能更有效地避免植被信息的干扰,能够精确、快速地检测阴影区域,对后期的阴影去除等研究具有重要的参考价值。