spectral image

Multispectral imaging techniques providing additional spectral information in common pathological samples are used for image acquisition.

论文采用了一种新颖的多光谱成像技术,所采集的图像可以提供更多反映物质特性的光谱信息.

Because of the advantages of wide spectral response, large dynamic range, high sensitivity and so on, the charge coupled device ( CCD) has been widely applied to the fields of image sensing and non-contact measurement.

电荷耦合器件（CCD）以其光谱响应宽、动态范围大、灵敏度高等优点广泛应用于图像传感和非接触测量领域。

This paper discussed the requirements from the point of view of spatial resolution, temporal resolution, spectral resolution and image quality, etc.

本文主要从空间分辨率、时间分辨率、光谱分辨率和影像质量等方面对其进行阐述。

SPECTRUM AUTOCORRELATION A data compression method for 3 dimensional spectral image data using KL transform

采用KL-变换的三维谱象数据压缩方法

Firstly, on bisecting K-means is used to quantize image roughly and then we refine the image by improved spectral clustering based weighted distance.

首先利用高效的二分K均值聚类进行粗略量化，然后使用基于加权距离的谱聚类进行再次量化。

The direct use of the airborne FIMS ( fine-split infrared multispectral scanner) remote sensing techniques in search of oil and gas resources makes it clear that the FIMS remote sensing image tones bear much spectral information on the hydrocarbon series.

机载细分红外光谱遥感技术寻找油气资源的试验研究表明，该遥感图像的色调异常主要是反映烃类物质的光谱信息。

Especially, the method of the spectral clustering based on color space quantization maybe can provide some idea for image segmentation. And the improved Gabor wavelet feature is a supplement for transform coefficients features of characters.

值得一提的是，基于颜色空间量化的谱聚类文本分割方法可以为其它图像分割问题提供思路；改进的Gabor小波特征也是对字符变换系数特征的一个补充。

A data compression method for 3 dimensional spectral image data based on KL transforms is presented.

提出了一种基于KL－变换的三维谱象数据压缩方法。

A remote sensing image supervised classification method based on spectral and textural features is proposed.

提出了一种基于颜色和纹理特征的遥感图像监督分类法。

Electron Density Image Reconstruction from Compton Scattered Energy Spectral Data

基于康普顿散射的能谱数据重建电子密度图像

Landsat Thematic Mapper ( TM) image is rich in spectral information, while SPOT panchromatic data is fine in its spatial resolution. Complementary and effective use of these data has shown in its increasing importance in the field of remote sensing application.

陆地卫星TM图像含有丰富的光谱信息，SPOT全色波段图像数据分辨率较高，因此，如何将这两种图像数据有效地结合起来，在遥感应用领域中显得越来越重要。

After that, this paper uses spectral clustering on the similarity matrix constructed in the last step to complete the image segmentation.

之后再利用谱聚类对已经构造好的相似度矩阵进行聚类，完成对图像的分割。