Extraction of roads from high-resolution satellite images with the discrete wavelet transform

被引：0
作者：
Talal T.M. [1 ]
El-Sayed A. [2 ]
Hebaishy M. [1 ]
Dessouky M.I. [3 ]
Alshebeili S.A.
El-Samie F.E.A. [3 ]
机构：
[1] National Authority of Remote Sensing and Space Science
[2] Department of Computer Science and Engineering, Faculty of Electronic Engineering, Menoufia University
[3] Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University
来源：
Sensing and Imaging | 2013年 / 14卷 / 1-2期
关键词：
Direction filter; DWT; Length filter; Road extraction;
D O I：
10.1007/s11220-013-0078-0
中图分类号：
学科分类号：
摘要：
In this paper, a wavelet-based approach for road extraction from satellite images is proposed. The discrete wavelet transform (DWT) is used in the proposed approach to decompose an image into approximation and detail components in order to reduce the dimensions of unwanted small objects in the image due to the decimation effect of the DWT. After that, two morphological direction filters and a length filter are used with the approximation component. The objective of the two morphological filters is to detect roads in different directions and the objective of the length filter is to remove noise and small unwanted objects based on a certain threshold length. With the decimation effect of the DWT, it is expected that the length filter will succeed in removing most unwanted objects, easily. Images of high resolution satellites such as QuickBird with 0.61 m resolution, IKONOS with 1 m resolution, and SPOT-5 with 2.5 m resolution for different regions of Egypt and some other areas are used for the validation of the proposed approach. © Springer Science+Business Media New York 2013.
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收藏
页码：29 / 55
页数：26
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