The normal ways are Surpervised classification and Un-supervised classification.
常用的分类方法有监督分类和非监督分类。
It then describes the supervised classification technique based on the search coding method.
然后探讨了基于搜索编码的监督分类技术。
Supervised classification not only was efficient, but also could be ensure certain degree of accuracy.
监督分类不仅效率高，而且能够保证一定的精度要求。
Made sure of the parameters and thresholds of different objects with supervised and unsupervised classification.
确定研究区内不同地物采用监督分类和无监督分类时相应的参数和阈值。
The analysis of experimental data has proven that this algorithm has better effect on semi-supervised classification.
实验数据分析证明了该算法在进行半监督分类时具有比较好的效果。
The hybrid classification can improve the efficiency of process on supervised classification or unsupervised classification.
又可以提高纯粹的监督分类或非监督分类过程的精度。
Comprehensive analysis and comparisons are given for several typical algorithms in supervised and unsupervised classification.
针对几种典型的有监督及无监督分类算法，进行了深入的分析和比较。
The image of Nanchuan in 2000 was interpreted using a multi-extracting method combining supervised classification with non-supervised classification.
利用监督分类和非监督分类相结合的分层提取分类方法对南川市2000年遥感影像进行解译。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
After supervised classification we extracted residential area and the grass of shelter belt based on knowledge discovery, finally we got the accuracy assessment reports.
基于知识对监督分类的结果做后处理，准确地提取了居民地和防护林草类型，并对分类结果进行了精度评估。
The invention relates to a supervised classification method of multi-class hyperspectrum remotely sensed data, which comprises the following steps: (1), reading the hyperspectrum data;
一种高光谱遥感数据多类别监督分类方法，包含以下步骤：（1）读入 高光谱数据；
Compared with the unsupervised classification and the supervised classification, the precision of multiband combination information extraction is improved to 85.5% from 25.3%, 71.6%, respectively.
与非监督分类及监督分类相比，监督分类和非监督分类结合分层提取的总体分类精度分别从25.3%、71.6%提高到85.5%。
The classification accuracy is unsatisfactory in the complicated terrain area of the Loess Plateau when the single supervised classification is used in the remote sensing investigation of slope field.
由于黄土高原地区地形复杂，在坡耕地遥感调查中单纯采用监督分类法很难获得理想的精度。
While for terrace extraction, supervised classification has better result than unsupervised classification. The difference of total accuracy between two methods based on IKONOS image is more than 12%.
而对于IKONOS影像梯田提取，两种分类结果精度相差12%以上，监督分类结果明显优于非监督分类结果。
Supervised learning is fairly common in classification problems because the goal is often to get the computer to learn a classification system that we have created.
监督学习是最常见的分类问题，因为目标往往是让计算机去学习我们已经创建好的分类系统。
A clustering-based and supervised intrusion detection method was proposed with new distance definition for mixed-attribute data and improved nearest neighbor classification method.
基于一种用于混合属性数据的距离定义和改进的最近邻分类方法，提出了一种基于聚类的有指导的入侵检测方法。
Supervised learning with the use of regression and classification networks with sparse data sets will be explored.
也将在课程中以带有稀疏值理论的分类神经网路与回归的使用来探讨监督式学习。
In this paper, a new method which combines unsupervised and supervised learning strategy is put forward to construct the multi classification decision tree.
提出了一种融合无监督和监督两种学习策略生成多分类决策树的方法。
Supervised and unsupervised approaches for classification of remote sensing data by computer are discussed. Some primary classification results are provided.
讨论了遥感数据监督指非监督和计算机自动分类的问题，并给出了一些初步的分类结果实例。
The audio is robust and supervised audio classification is general in the same type sports video.
体育视频中的声音鲁棒性比较好，有监督的音频分类可以做到针对一种比赛项目的通用性。
The main contributions include: 1 a novel dimension reduction method, Supervised Latent Semantic Indexing SLSI, was proposed to represent documents for text classification tasks.
第一，提出一种有监督的潜在语义索引(SLSI)模型降维方法，用于文本分类任务中的特征表示。
For learning document classification on line, the paper gives the semi-supervised learning fuzzy ART model (SLFART) based on adaptive resonance theory and the models algorithm.
为了对在线学习文档进行分类，本文根据自适应谐振理论给出了一个半监督学习模糊art模型(SLFART)及其算法。
The supervised learning algorithm was usually used for remote sensing image classification, but its training samples need to be chosen by manual, which was boring and sometimes even difficult.
遥感图像分类方法通常采用监督的学习算法，它需要人工选取训练样本，比较繁琐，而且有时很难得到；而非监督学习算法的分类精度通常很难令人满意。
The supervised learning algorithm was usually used for remote sensing image classification, but its training samples need to be chosen by manual, which was boring and sometimes even difficult.
遥感图像分类方法通常采用监督的学习算法，它需要人工选取训练样本，比较繁琐，而且有时很难得到；而非监督学习算法的分类精度通常很难令人满意。
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