Approach of Texture Signature Determination - Application to Forest Cover Classification of High Resolution Satellite Image

被引：0

作者：

Zaaboub, Wala ^{[1
]}

Ben Dhiaf, Zouhour ^{[1
]}

机构：

[1] FST, Lab Comp Sci Programming Algorithm & Heurist, Tunis, Tunisia

来源：

2014 6TH INTERNATIONAL CONFERENCE OF SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR) | 2014年

关键词：

texture signature; classification; sum and difference histogram; high resolution satellite image; multifractal; NATURAL IMAGES;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents an approach of textural signature identification for the classification of high resolution satellite image of forest. We are looking for the most appropriate combination of features from texture measures. This combination which forms our signature should allow the discrimination between different types of textures present in the image that will be classified. We improve our signature by a step of weighting features. The weight of each feature reflects its degree of confidence. We finish with an experimental step which is an application of our combined weighted signature for the purposes of classification of high resolution satellite image of forest.

引用

页码：325 / 330

页数：6

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