Belief Function Classification with Conflict Management: Application on Forest Image

机译：相信函数分类与冲突管理：在森林图像上的应用

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Treating imprecise and uncertain data requires an adequate formalism allowing a fit modelization. Several formalisms can be identified such as Bayesian theory, fuzzy set theory and belief function theory. The belief function theory provides an adequate formalism to manipulate those imperfect data. It also allows source fusion thanks to the combination operators that it integrates. The fusion process generates an empty set mass denoted conflict that illustrates the contradiction rate between considered sources. In this work, we tackle the classification of a forest high-resolution remote-sensing image problem. In order to classify this image, we handled imperfect information with the belief function theory. We propose a method for classification based on belief function theory and source fusion. The introduced Redistributing Conflict Classification Approach (RCCA) analyzes the conflict resulting from the fusion and redistributes it to the most pertinent classes. An experimental comparison to well known literature classifiers is provided.

机译：治疗不精确和不确定的数据需要足够的形式主义，允许拟合建模化。可以确定几种形式主义，例如贝叶斯理论，模糊集理论和信仰功能理论。信仰功能理论提供了一种适当的形式主义来操纵这些不完美的数据。它还允许源融合，因为它集成了它的组合运算符。融合过程产生了一个空的集合质量，表示冲突，说明了所考虑的源之间的矛盾率。在这项工作中，我们解决了森林高分辨率遥感图像问题的分类。为了对此图像进行分类，我们将具有信仰功能理论的不完美信息处理。我们提出了一种基于信念函数理论和源融合的分类方法。引入的重新分配冲突分类方法（RCCA）分析了融合产生的冲突，并将其重新分配给最相关的类。提供了与众知的文学分类器的实验比较。

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《International Conference on Signal Image Technology Internet Based Systems》|2014年||共7页
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Samet Ahmed; Lefevre Eric; Ben Yahia Sadok;
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中图分类通信理论;
关键词
belief function theory; classification; conflict management; information fusion;

机译：信仰功能理论;分类;冲突管理;信息融合;

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1. Textural information of multitemporal ERS-1 and JERS-1 SAR images with applications to land and forest type classification in boreal zone [J] . Kurvonen L., Hallikainen M.T. IEEE Transactions on Geoscience and Remote Sensing . 1999,第2期

机译：多时相ERS-1和JERS-1 SAR图像的纹理信息及其在寒带地区土地和森林类型分类中的应用
2. Base belief function: an efficient method of conflict management [J] . Wang Yunjuan, Zhang Kezhen, Deng Yong Journal of ambient intelligence and humanized computing . 2019,第9期

机译：基本信念功能：有效的冲突管理方法
3. Base belief function: an efficient method of conflict management [J] . Wang Yunjuan, Zhang Kezhen, Deng Yong Journal of ambient intelligence and humanized computing . 2019,第9期

机译：基本信念功能：一种有效的冲突管理方法
4. Belief Function Classification with Conflict Management: Application on Forest Image [C] . Samet Ahmed, Lefevre Eric, Ben Yahia Sadok International Conference on Signal Image Technology Internet Based Systems . 2014

机译：具有冲突管理的信念函数分类：在森林图像中的应用
5. Object-based segmentation and classification of one meter imagery for use in forest management plans. [D] . Wells, W. Kevin. 2010

机译：用于森林管理计划的一米图像的基于对象的分割和分类。
6. Conflict management based on belief function entropy in sensor fusion [O] . Kaijuan Yuan, Fuyuan Xiao, Liguo Fei, -1

机译：传感器融合中基于信念函数熵的冲突管理
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8. The Application of Landsat Remote Sensing Technology to Natural Resources Management. Section 1: Introduction to Vicar - Image Classification Module. Section 2: Forest Resource Assessment of Humboldt County. [R] . Fox, L., Mayer, K. E. 1980

机译：Landsat遥感技术在自然资源管理中的应用。第1节：Vicar介绍 - 图像分类模块。第2节：洪堡县的森林资源评估。

Belief Function Classification with Conflict Management: Application on Forest Image

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