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fiber optic bundles,non-silica,imaging

基本解释多成分影像光纤

网络释义

1)fiber optic bundles,non-silica,imaging,多成分影像光纤2)imagefiber,影像光纤3)the multispectral remote sensing image classification,多光谱遥感影像分类4)multi-spectral high resolution imagery,多光谱高分辨率影像5)multi-spectral images,多光谱影像6)multi-spectral image,多光谱影像

用法和例句

On the basis of the analysis of the methods based on single band image texture,this paper presents a method for texture analysis of multi-spectral images based on gray level co-occurrence matrix.

提出了基于灰度共生矩阵的多光谱影像纹理分析的方法,实现了利用k-mean聚类算法对多光谱影像进行分类,比较了各种不同的分类结果。

Using spectral feature and texture feature,the fuzzy c-means clustering algorithm has been performed for the classification of the multi-spectral images.

提出了基于灰度-基元共生矩阵的遥感影像纹理分析的方法,分析了提取的纹理特征,实现了利用模糊C-均值算法对多光谱影像和纹理特征影像进行分类,比较和讨论了各种不同的分类结果。

From the structure learning methods of search heuristics, we constructed a Na ve Bayesian Network for the multi-spectral image.

用基于启发式搜索的结构学习算法,学习得到多光谱影像的贝叶斯网络结构,分析了TM的波段(特征)间条件独立性假设的合理性,给出了贝叶斯推理中后验概率计算的公式,并通过和最大似然法对比试验分析了简单贝叶斯网络应用于多光谱影像分类的优势。

Urban Land Use Change Detection Based on High Accuracy Classification of Multispectral Remote Sensing Imagery

基于多光谱遥感影像分类的城镇用地变化研究

The Classification of Multispectral Remote Sensing Image Based on Least Squares Support Vector Machine;

基于最小二乘支持向量机的多光谱遥感影像分类

Multispectral Data Classification Based on Genetic Programming;

基于遗传规划的遥感多光谱图像分类

Classification of Hyperspectral RS Image Based on SVM and Spectral Relevance

基于光谱相关性的SVM高光谱遥感影像分类

A METHOD FOR CLASSIFICATION OF HIGH SPATIAL RESOLUTION REMOTELY SENSED IMAGES BASED ON TEXTURE AND SPECTRAL INFORMATION

基于纹理和光谱信息的高分辨率遥感影像分类

A Classification Method for High Spatial Resolution Remotely Sensed Image Based on Multi-feature

一种基于多特征的高光谱遥感图像分类方法

Research on Dimensional Reduction and Classification of Hyperspectral Remote Sensing Image;

超光谱遥感图像降维及分类方法研究

Land use/cover classification of high resolution remote sensing images of mountainous areas based on texture and spectral information

基于光谱和纹理特征的山区高分辨率遥感影像分类

Key Problems of Applying Support Vector Machines to the Classification of Spectral Remote Sensing Imagery;

支撑向量机在光谱遥感影像分类中的若干问题研究

Research on automatically generation of binary decision classification tree based on spectral information

基于遥感影像光谱信息的二叉决策分类树自动生成方法研究

Region segmentation of multi-spectral remote sensing images using improved JSEG algorithm

JSEG改进算法在多光谱遥感影像区域分割上的应用(英文)

Hyperspectral Image Lossless Compression Based on 3D Prediction

基于分类预测的高光谱遥感图像无损压缩

Target Detection and Classification for Hyperspectral Imagery;

高光谱遥感图像目标探测与分类技术研究

Research on the Hyperspectral Imagery Classification Based on the Neural Network;

基于神经网络的高光谱遥感图像分类研究

Hyperspectral Imagery Classification Based on Support Vector Machine;

基于支持向量机的高光谱遥感图像分类

Application of Support Vector Machines in the Classification of Hyper-spectral Remote Sensing Image

支撑向量机在高光谱遥感图像分类中的应用

Automatic Band Selection and Classification of Hyperspectral Remote Sensing Images Based on ETAFSVM

基于ETAFSVM的高光谱遥感图像自动波段选择和分类

Study on Simulating Near Natural Color of Multi-Spectrum Remote Sensing Image;

多光谱遥感影像近自然彩色模拟的研究

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