并对非线性主折线算法用于高光谱遥感数据特征提取的效果进行研究和讨论。
A simplified algorithm of nonlinear principal curves called nonlinear principal poly line is developed and its effect for feature extraction of hyperspectral data is researched.
主要介绍PHI - 3高光谱遥感数据从原始数据到产品这一阶段的预处理情况。
The processing of PHI-3 hyperspectral remote sensing data from original data to production is presented.
一种高光谱遥感数据多类别监督分类方法，包含以下步骤：（1）读入 高光谱数据；
The invention relates to a supervised classification method of multi-class hyperspectrum remotely sensed data, which comprises the following steps: (1), reading the hyperspectrum data;
与常规遥感相比，高光谱遥感数据处理及目标地物的识别需要采用一些新的技术和手段。
Compared with traditional remote sensing, some new technique and method must be developed for hyperspectral remote sensing data processing and object discerning.
最后探讨了高光谱遥感数据的五种常用分类方法及分类预处理步骤，为后续工作提供一些思路。
Following the presentation of the fieldwork results, the paper discusses five prevailing classification methods and steps for pre-processing, providing some ideas for following work.
文章深入分析了高光谱遥感数据中噪声的特点，提出了一种基于平稳小波变换的改进小波滤噪算法。
This paper analyzed the characteristic of noise in hyperspectral data deeply, and puts forward a de-noising method based on stationary discrete wavelet transform (SDWT).
由于高光谱遥感数据具有非常高的光谱分辨率，因此非常有利于深入挖掘地物的理化特性或精细识别不同的地物。
For it has an extremely high spectral resolution, such data has facilities to the physicochemical characteristics mining or subtle recognition of different ground objects.
针对高光谱遥感影像数据量大、数据冗余度高的特点，引入拉普拉斯特征映射方法对高光谱遥感数据进行非线性降维。
Feature extraction is an indispensable preprocessing step for large and high redundancy data of hyperspectral remote sensing image.
使用高光谱数据描述一个类似于欧罗巴星的北极区富硫泉水地带，《环境遥感》，114（6），1297-1311.
Characterization of a sulfur-rich Arctic spring site and field analog to Europa using hyperspectral data. Remote Sensing of Environment, 114 (6), 1297-1311.
高光谱图像压缩技术是遥感数据存储和传输中的一个迫切需要解决的问题。
The compression technology of hyperspectral image is a key problem to be solved in the storage and transportation of remote sensing data.
在统计意义上蚀变异常在遥感高(多)光谱数据集合中是可识别的。
In a statistical sense, the alteration anomaly of remote sensing hyper (multi -) spectral data set is identifiable.
高光谱分辨率遥感数据以其丰富的光谱信息使得其分析处理集中于光谱维上进行图像信息的展开和定量分析。
We study on the image information and quantitative analysis focusing on the spectral dimension because the hyperspectral data has the abundant spectral information.
高维遥感数据的分类与识别与传统的多光谱遥感分类技术具有明显的区别。
Classification and pattern recognition of high dimensional remote sensing data are distinctly different from traditional multi-channel remote sensing classification techniques.
植被高光谱遥感以其显著的特点已经成为连接遥感数据处理、地面测量、光谱模型和应用的强有力的工具。
Hyperspectral remote sensing data, compared with wide band remote sensing data, has the advantage of high spectral resolution.
植被高光谱遥感以其显著的特点已经成为连接遥感数据处理、地面测量、光谱模型和应用的强有力的工具。
Hyperspectral remote sensing data, compared with wide band remote sensing data, has the advantage of high spectral resolution.
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