| 1. | Study on optimal bands selection of multi - spectral remote sensing data
多光谱遥感数据最佳波段选择的研究 |
| 2. | Remote sensing information extraction from altered rocks and minerals based on variation of spectra
多光谱遥感蚀变信息提取的新方法应用研究 |
| 3. | A new fusion method based on resolution degradation model for panchromatic and multi - spectral images
基于分辨率退化模型的全色和多光谱遥感影像融合方法 |
| 4. | A method of land use classification from remote sensing image based on support vector machines and spectral similarity scale
多光谱遥感蚀变信息提取新方法研究 |
| 5. | With the development of multispectral remote - sensing technology , compression of multispectral images is of more and more importance
随着多光谱遥感技术的发展，多光谱图像的压缩受到越来越多的关注。 |
| 6. | Optimal band selection and combination of multi - spectrum data is the key for image enhancement , it directly influences eye estimation and object information distilled
多光谱遥感数据的最佳波段选取与组合是遥感图像增强处理的关键部分,直接影响到图像的目视解译和研究对象的信息提取。 |
| 7. | A change detection method is developed in this dissertation , which applies independent component analysis to multi - temporal multi - spectral remote sensing image transformation
论文提出了一种将独立成分分析用于多光谱遥感图像变换的变化检测方法,减少了图像间的高阶相关,提高了检测性能。 |
| 8. | Image transformation based change detection technique is one kind of the most important techniques for multispectral images . traditional image transformation methods are based on orthodoxy theory , which might be difficult in deal with higher order dependences in multitemporal images
图像变换是实现多光谱遥感图像变化检测的一类重要方法,现有变化检测所使用的图像变换方法基本上都是基于正交变换,难以处理图像间的高阶相关信息。 |
| 9. | This paper tries applying remote sensing , taking wetland in western inner mongolia as an example , on the support of remote sensing data 2002 and image processing software pci , to discuss optimal bands selection and combination in order to give prominence to wetland type
本文尝试应用遥感技术,以内蒙古西部湿地为研究对象,在2002年landsat7卫星etm遥感数据及遥感图像处理软件pci的支持下,对从多光谱遥感数据中选取最佳波段与组合以突出湿地进行探讨。 |
| 10. | The experiment results from practical multispectral images have shown that this algorithm is efficient . if the original image is reconstructed by five eigen subimages , the nearlossless compression ratio is above 11 for the data used in this paper and the psnr is more than 45db
实验结果表明，对机载64波段多光谱遥感图像进行k - l变换和整数小波变换后，选用五个本征子图像重建原图像，压缩比可以达到11以上，峰值信噪比则超过45db ，取得了其它方法无法获得的效果。 |
