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Spectral Python (SPy) is a python package for reading, viewing, manipulating, and classifying hyperspectral image (HSI) data. SPy includes functions for clustering, dimensionality reduction, supervised classification, and more.
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本文是在IEEE上发表的一片关于如何使用Matlab中的高光谱图像处理工具箱（HIAT）的英文文献。其中介绍了高光谱图像处理软件的发展及现状。并详细介绍了Matlab中的高光谱图像处理工具箱（HIAT）的功能及使用。并进行举例演示，说明了使用HIAT处理高光谱图像的优点和便利之处。
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一个用Matlab处理高光谱图像的程序工具箱，里面包含了处理高光谱图像的GUI工具箱，可以很方便的处理高光谱图像。-A hyperspectral image processing using Matlab toolbox program, which includes the processing of hyperspectral images GUI toolkit, can easily handle high-spectral images.
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毕设内容，高光谱图像基本处理，主要实现单波段提取与伪彩色图像合成功能，提供程序框架，更多功能只需嵌入即可。另用MATLAB写了其GUI。-Complete set content, the basic processing of hyperspectral images, mainly for single-band pseudo-color image extraction and synthesis, to provide procedural framework, more feature
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1.an fpga implementation of the image space reconstruction algorithm for hyperspectral imaging analysis
2. fpga implemention of a median filter
3. fpga implementation of digital filters
4.hardware acceleration of edge detection algorithm on
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这个程序包里面包含读取遥感影像的IDL代码，可以读取多个波段，并且显示图像！-This package which contains the IDL remote sensing image to read the code, which can be read by a number of bands, and display images!
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本程序主要用于实现对bil格式的高光谱图像的光谱平滑处理。-This procedure is mainly used to realize bil format hyperspectral image spectra smoothing.
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通过演化聚类算法对高光谱图像进行超平面分割，有成像功能，对应高光谱图像文件为HD5格式-Through the evolutionary clustering algorithm for high-spectral image hyper-plane partition, there are imaging features, the corresponding hyperspectral image file format for the HD5
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该代码采用IDL语言实现了从光谱库读取高光谱曲线，并且去除其包络。这是高光谱图像处理时一个重要的预处理技术。-The code using IDL language library to read from the spectrum of high spectral curve, and the removal of the envelope. It is time hyperspectral image processing is an important pre-processing tec
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高光谱图像端元提取算法研究进展与比较Hyperspectral image endmember extraction algorithm and compare progress.-Hyperspectral image endmember extraction algorithm and compare progress.
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超光谱图像研究的工具，ENVI 4.7的介绍说明书-Hyperspectral image research tool, ENVI 4.7 Introduction manual
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高光谱图像特征分析，在空间和谱间的区别和特征提取，用于识别地物信息-Hyperspectral image characteristics analysis, in the space and spectrum differences and feature extraction, used to identify features information
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基于IDL的高光谱图像处理（RAW）的校正处理程序-Based on the IDL calibration of the hyperspectral image processing program
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classification code for hyperspectral image in remote sensing
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引入空间信息在高光谱图像分割的时候最大化后验分割的计算就是通过α-expansion算法实现的。-Maximize the introduction of spatial information in hyperspectral image segmentation segmentation calculation inspection by α-expansion algorithm.
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Abstract : As a powerful tool for image processing ，bi-dimensional empirical mode decomposition ( BEMD)
covers a wide range of applications． In this paper ，we explore a novel hyperspectral classification algorithm
which integrates BEMD and s
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中值滤波均值快速算法在高光谱图像处理系统中的应用-Median filtering mean fast algorithm for hyperspectral image processing system
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VC++编程实现的高光谱图像处理算法，包括RX ,正则化RX，CEM，单位化CEM和样本加权CEM。
程序中封装了矩阵类，这次封装没有使用模板类，可以减小程序体积。-Hyperspectral image processing algorithms the VC++ programming, including RX is the RX, CEM, the unitised CEM and sample weighted CEM. Program encapsulated in a matr
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2013 Self-adaptive differential evolution for feature selection in hyperspectral image data
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此程序可以利用相位一致性计算含有条带噪声不同带宽高光谱图像的图像质量。-This program can take advantage of the phase coherence calculated noise bandwidth hyperspectral image containing bands image quality.
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