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对高光谱数据和多光谱图像数据进行数据预处理,提取光谱曲线,进行目标提取-Hyperspectral data and multi-spectral image data preprocessing, extracting the spectral curve, object extraction
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离散小波变换域非负张量分解的高光谱遥感图像压缩-Discrete wavelet transform domain of non-negative tensor decomposition of hyperspectral remote sensing image compression
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高光谱图像进行MNF变换,采用MAF评价图像的噪声;处理过程与ENVI软件中的完全一样。-MNF transformation of hyperspectral images, using noise MAF to evaluate the image.the process is exactly the same with ENVI software .
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Matlab实现的最大噪声分离变换(MNF),可以处理RGB图,高光谱图像以提取图像特征。算法速度较快,注释详尽。-Matlab achieve maximum noise separation transform (MNF), can handle RGB graph, hyperspectral images to extract image features. Algorithm faster, detailed notes.
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迁移朴素贝叶斯分类器算法实现,可用于高光谱遥感图像处理-Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing
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This booklet is intended only as a general introduction to
hyperspectral imaging. In TNTmips, hyperspectral images can be processed and
analyzed using the Hyperspectral Analysis process (choose Image / Hyperspectral
Analysis the TNTmips menu).
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高光谱遥感图像处理之数据分类的fcm算法源代码maltlab-Hyperspectral remote sensing image processing data classification of the FCM algorithm source code maltlab
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本代码实现了对高光谱遥感图像进行混沌序列置乱加密,其中包括读取三维立体遥感图像、混沌加密以及灰度直方图绘制-This code implements the hyperspectral remote sensing images chaotic sequence of scrambling encryption, including reading the three-dimensional sensing image, and histogram drawing Chaotic Encrypt
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高光谱遥感图像异常检测算法KRX算法matlab程序-Hyperspectral remote sensing image anomaly detection algorithm KRX algorithm
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Adaptive bad pixel estimation for hyperspectral images. It uses the captured image and a dark reference image for computation.
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高光谱处理算法,用于处理高光谱中的光谱数据和图像数据。-Hyperspectral processing algorithm for processing the image data and the spectral data of hyperspectral.
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可用于读取BIL、BIP、BSQ格式的高光谱遥感影像文件(Can be used for hyperspectral remote sensing image file read BIL, BIP format, BSQ)
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最小噪声分离,能够实现高光谱遥感图像的MNF正逆变换,进行图像降维与重建(Minimum noise separation can realize the MNF positive and inverse transformation of hyperspectral remote sensing images, and reduce the image dimension and reconstruct the image)
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基于稀疏字典和稀疏编码的图像去噪算法,基于低秩约束的高光谱条纹噪声去除,包含论文及代码(Based on sparse dictionary and sparse coding image denoising algorithm, based on low rank constraints of hyperspectral fringe noise removal, including papers and code)
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本算法可以进行简单的图像分割,包括RGB图像,当然进过修改后还可以对高光谱图像进行分割,建议看懂代码后自行修改参数(The algorithm can be a simple image segmentation, including RGB images, of course, into the modified, you can also hyperspectral images segmentation, it is recommended to understand the code a
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envi,目标探测,目标探测高光谱遥感图像(Hyperspectral remote sensing image)
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顶点成分分析法,适用于高光谱遥感图像混合像元分解(The vertex component analysis method is suitable for hyperspectral remote sensing image unmixing)
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对采集高光谱图像利用envi处理后,对其img格式图像读取 并显示rgb图像(On the acquisition of hyperspectral images using envi processing, the img format image to read and display rgb images)
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对采集的高光谱畜产品图像利用envi后,利用程序将其rgb图像进行前处理(The use of envi after the acquisition of hyperspectral animal images, the use of procedures for its rgb image preprocessing)
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高光谱遥感与传统的单波段、多光谱数据相比,波段量大量增加、波段宽度极大降低,对地面目标的光谱特性的测度更加细致,然而波段的增多必然导致数据量急剧增加、计算量增大、信息冗余增加以及统计参数的估计偏差增大。因此,对高光谱数据进行降维处理具有重要意义。一方面,降维能够使图像远离噪声,提高图像数据质量;另一方面,能够去除图像中的无价值波段,减少波段数,从而降低计算量,提高运算效率。主成分分析是常用的高光谱数据降维处理方法之一。(Compared with the single band, hypersp
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