Block-based semantic classification of high-resolution multispectral aerial images

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• 作者：Aleksej Avramović ; Vladimir Risojević
• 关键词：Gist descriptor ; SIFT descriptor ; Multispectral remote sensing image classification ; Land use/land cover
• 刊名：Signal, Image and Video Processing
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：10
• 期：1
• 页码：75-84
• 全文大小：1,203 KB
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• 作者单位：Aleksej Avramović (1)
  Vladimir Risojević (2)
  
  1. School of Electrical Engineering, University of Belgrade, Bulevar Kralja Aleksandra 73, 11000, Belgrade, Serbia
  2. Faculty of Electrical Engineering, University of Banja Luka, Patre 5, 78000, Banja Luka, Bosnia and Herzegovina
  
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing
  Image Processing and Computer Vision
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Multimedia Information Systems
  
• 出版者：Springer London
• ISSN：1863-1711

文摘

In this paper, we compare different approaches for classification of aerial images based on descriptors computed using visible spectral bands as well as additional information obtained from the near infrared band. We also propose different methods for incorporating dimensionality reduction into descriptor extraction process for both global and local texture descriptors aiming at obtaining low-dimensional descriptors from multispectral images. Furthermore, we examine classification accuracy in cases when small training sets are used. For evaluation purposes, we use an in-house high-resolution aerial image dataset, with images containing visual and near-infrared spectral bands, as well as UC Merced land-use dataset. We achieve the classification rates of over 90 % on in-house dataset. For UC Merced, we obtain classification accuracy of 91 % which is an improvement of about 3 % compared to the state-of-the-art color SIFT descriptors. Keywords Gist descriptor SIFT descriptor Multispectral remote sensing image classification Land use/land cover