1.
Accuracy Analysis of Land Use and Land Cover Classification Based on Different Classification Methods;
基于不同分类方法土地利用/覆盖分类精度分析
2.
Influence of False Color Composite and Evaluation Method on Remote Sensing Classification Accuracy
假彩色合成和精度评价方法对遥感影像分类精度的影响
3.
The prior knowledge is often introduced into the classification in order to improve the accuracy.
为了提高分类精度往往需要引入先验知识。
4.
Comparison of Two Methods to Enhance Classification Accuracy in Urban TM Image
提高城市TM图像分类精度的两种方法比较
5.
The proposed method was easy to be computed and implemented, the classification accuracy were 92.0% and 97.57%, respectively.
文中的方法计算简单、实现容易,分别获得了92.00%和97.57%的分类精度.
6.
Classification Precision Analysis on Different Fusion Algorithm for ETM+Remote Sensing Image
不同融合算法对ETM+遥感影像分类精度的影响分析
7.
Methods to Improve Classification Precision of RS Images in Land Use/Cover Research
土地利用/土地覆盖研究中遥感图像分类精度的提高方法
8.
Text classification methods based on Key words are not known for their classification precision,this is due to the existence of synonyms and polysemes.
由于同义词和多义词的存在,使得基于特征词的文本分类方法分类精度不高。
9.
A Class of High Order Accurate Difference Schemes for Hamilton-Jacobi Equations
求解Hamilton-Jacobi方程的一类高精度差分格式
10.
The composition of fossil fuels varies with source, type, and degree of refinement.
矿物燃料的成分随来源、种类和精选程度而变化。
11.
High-Accuracy and Parallel Algorithms for Supervised Remote-sensing Image Classification;
遥感图像高精度并行监督分类技术研究
12.
A Class of High Accuracy Explicit Difference Schemes for Solving the Parabolic Equations;
解抛物型方程的一类高精度显式差分格式
13.
The Realization of High-precision Image Classifier Based on Feature Subspace
基于特征子空间的高精度图像分类器实现
14.
On Exact Distribution of a Class of Supremum-type Statistics for Goodness of Fit
一类上界型拟合优度检验统计量的精确分布
15.
Variable precision rough sets and Bayesian classification of rough set image classification
变精度粗糙集与贝叶斯粗糙集图像分类研究
16.
Variable Precision Rough Set Based Approach for Image Classification
一种基于变精度粗糙集的图像分类方法
17.
Compared with other algorithms,the method has the advantages of accurate and fast classification and recognition.
与以往的算法相比,该方法具有分类识别精度高且速度快的优点。
18.
Quality Control of Tobacco Flavor by the Clustering Analysis and the Extent Similarity
聚类分析结合程度相似度用于烟用香精的质量控制