In this paper, a knowledge-based fuzzy image classification method is proposed. In the method, knowledge discovery from GIS is introduced in to assist fuzzy image classification.
本文提出了一种基于知识的遥感图像模糊分类算法，在传统的模糊分类方法中加入了从GIS数据库中发现的知识，用它来辅助进行遥感图像分类。
It acquires good classified effects that fuzzy mathematics is applied in the panchromatic aerial image classification.
将模糊数学理论引入中小比例尺全色航空影像分类中，取得了一定的效果。
It acquires good classified effects that fuzzy mathematics is applied in the panchromatic aerial image classification. Experiments indicate this method is a good image classification.
将模糊数学理论引入中小比例尺全色航空影像分类中，取得了一定的效果。试验表明模糊分类技术是一种较好的航空影像分类方法。
In this paper, fuzzy sets theory was applied in classification of remote sensing image, classification of remote sensing image was researched.
本文将模糊集理论应用于遥感图像的分类中，研究了模糊集理论在遥感图像分类中的应用。
Our work inspired from previous work, exploiting fuzzy classification theory to improve the process of feature quantification, is implementing a small image search system.
我们的工作在前人的基础上利用模糊分类理论，改进了特征量化的过程，实现了一个小型的图片搜索系统。
A new method is proposed to detect infrared small and dim targets in cloud cluster image based on fuzzy classification.
提出了一种新的基于模糊分类的红外云层背景弱小目标检测方法。
A new method is proposed to detect infrared small and dim targets in cloud cluster image based on fuzzy classification.
提出了一种新的基于模糊分类的红外云层背景弱小目标检测方法。
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