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Image Classification Using SVMs
describe SVM
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本文以红外成像制导的图像处理分析和目标识
别为主线，针对各个环节所存在的困难，系统研究了目标识别系统中的图像滤波、
目标分割、二维目标特征提取、三维目标特征提取和分类识别等问题。
-The main line of the image processing and analysis of the infrared imaging guidance and target recognition, target recognition system image filtering sys
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The wavelet transform divides image into different but interrelated multi-resolution and multi-level
sub-bands, so quantization coding strategy of image wavelet coefficient has great flexibility. To address
to energy aggregation and correlated fe
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图像注释有多种方法。
目前主要有三种方法：基于对象分割的图像注释方法、基于固定大小分块的图像注释方法以及分类方法。本文将综述当前该
领域的研究现状。-are，Image annotation based On object segmentation，image annotation based on fixed-size
image partition and image classification．This paper will summarize the research st
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极化SAR图像分类数据，数据为T矩阵，为原始数据部分图像，包括free分解后数据以及各分量数据-Polarization SAR image classification data, data for the T matrix, part of the image to the original data, including the breakdown of free data and each component of the data
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A hybrid approach combining extreme learning machine and sparse representation for image classification
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