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locality-constrained linear coding (LLC) algorithm follows the standard descr iptor coding + spatial pooling strategy to extract features from the image, and the Library for Large Linear Classification
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遥感原理实习,K均值分类,以及图像基本操作,打开保存等-Remote Sensing Principles internship, K-means classification, and image basic operations, such as open saved
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An adaptive image denoising technique based on
the nonlocal means (NL-means) algorithm is investigated in this
research. The proposed method first employs the singular value
decomposition (SVD) method and the K-means clustering (Kmeans)
techn
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Multispectral remotely sensing imagery with high
spatial resolution, such as QuickBird, IKONOS satellite
imagery or Aerial imagery, especially in urban scenes, often
perform spectral variations and rich details within a category,
resulting in
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resonance imaging (MRI) data and estimation
of intensity inhomogeneities using fuzzy logic. MRI intensity
inhomogeneities can be attributed to imperfections in the
radio-frequency coils or to problems associated with the acquisition
sequences
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that arises the surface coil array.
This entropy-based method does not require classification and
robustly addresses some problems that are more severe than
those found in brain imaging, including noise, steep bias field,
sensitivity of arter
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er than mean squared error (MSE) function only. As an additional merit,
it is also revealed that rigorous Mercer kernel condition is not required in FKNN networks. When the
proposed
architecture of FKNN networks is constructed in a layer-by-lay
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用于图像纹理提取,图像分类等方面的研究,是一个很全面的纹理图像库。(For image texture extraction, image classification and other aspects of the study)
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