Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features

المؤلفون المشاركون

Li, Linyi
Xu, Tingbao
Chen, Yun

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-9، 9ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2017-07-06

دولة النشر

مصر

عدد الصفحات

9

التخصصات الرئيسية

الأحياء

الملخص EN

In recent years the spatial resolutions of remote sensing images have been improved greatly.

However, a higher spatial resolution image does not always lead to a better result of automatic scene classification.

Visual attention is an important characteristic of the human visual system, which can effectively help to classify remote sensing scenes.

In this study, a novel visual attention feature extraction algorithm was proposed, which extracted visual attention features through a multiscale process.

And a fuzzy classification method using visual attention features (FC-VAF) was developed to perform high resolution remote sensing scene classification.

FC-VAF was evaluated by using remote sensing scenes from widely used high resolution remote sensing images, including IKONOS, QuickBird, and ZY-3 images.

FC-VAF achieved more accurate classification results than the others according to the quantitative accuracy evaluation indices.

We also discussed the role and impacts of different decomposition levels and different wavelets on the classification accuracy.

FC-VAF improves the accuracy of high resolution scene classification and therefore advances the research of digital image analysis and the applications of high resolution remote sensing images.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Li, Linyi& Xu, Tingbao& Chen, Yun. 2017. Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1141318

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Li, Linyi…[et al.]. Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1141318

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Li, Linyi& Xu, Tingbao& Chen, Yun. Fuzzy Classification of High Resolution Remote Sensing Scenes Using Visual Attention Features. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1141318

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1141318