Different approaches for the texture classification of a remote sensing image bank

机译：遥感图像库纹理分类的不同方法

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摘要

In this paper, we summarize and compare two different approaches used by the authors, to classify different natural textures. The first approach, which is simple and inexpensive in computing time, uses a data bank image and an expert system able to classify different textures from a number of rules established by discipline specialists. The second method uses the same database and a neural networks approach.

机译：在本文中，我们总结并比较了作者用来对不同自然纹理进行分类的两种不同方法。第一种方法在计算时间上既简单又便宜，它使用一个数据库图像和一个专家系统，该系统能够根据学科专家建立的许多规则对不同的纹理进行分类。第二种方法使用相同的数据库和神经网络方法。

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《International conference on graphic and image processing》|2017年|1061530.1-1061530.8|共8页
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Philippe Durand; Gerard Brunet; Dariush Ghorbanzadeh; Luan Jaupi;
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Expert system; Prolog; Neural network; natural textures;

机译：专业系统;前言;神经网络;自然纹理;

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2. Comparison of Soft Computing Approaches for Texture Based Land Cover Classification of Remotely Sensed Image [J] . S. Jenicka, A. Suruliandi Research journal of applied science, engineering and technology . 2015,第10期

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3. A Review of Texture Based Segmentation Approaches for Remotely Sensed Images [J] . S. Hemalatha, S. Margret Anouncia International journal of mechanical and material sciences research . 2014,第2期

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4. Different approaches for the texture classification of a remote sensing image bank [C] . Philippe Durand, Gerard Brunet, Dariush Ghorbanzadeh, International Conference on Graphic and Image Processing . 2017

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5. Land cover classification using satellite -sensed imagery and its texture values: An accuracy assessment based on the Florida Land Use and Cover Classification System. [D] . Shrestha, Tilak Bahadur. 1999

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6. A Method for Application of Classification Tree Models to Map Aquatic Vegetation Using Remotely Sensed Images from Different Sensors and Dates [O] . Hao Jiang, Dehua Zhao, Ying Cai, 2012

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7. Multi-scale texture analysis of remote sensing images using gabor filter banks and wavelet transforms [O] . Ravikumar Rahul 2009

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8. Textural Features for Image Classification in Remote Sensing [R] . Haertel, V., Shimabukuro, Y. E. 1987

机译：遥感图像分类的纹理特征

Different approaches for the texture classification of a remote sensing image bank

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