INFORMATION EXTRACTION OF HIGH-RESOLUTION REMOTELY SENSED IMAGE BASED ON MULTIRESOLUTION SEGMENTATION
SHAO Peng
a
, YANG Guodong
a
, NIU Xuefeng
a,
, ZHANG Xuqing
a
, ZHAN Fulei
a
, TANG Tianqi
a a
College of Geoexploration Science and Technology, Jilin University, Changchun City, Jilin Province, 130026, China-724498258qq.com,ygdjlu.edu.cn,niuxfjlu.edu.cn,
zxq jlu.edu.cn,361316442qq.com,352200471qq.com
KEY WORDS: Edge-detection, Object-oriented. Multiresolution segmentation, Spectral features, Geometrical features,
Confusion matrix
ABSTRACT: The principle of multiresolution segmentation was represented in detail in this study, and the canny algorithm was applied for
edge-detection of remotely sensed image based on this principle. The target image was divided into regions based on object- oriented multiresolution segmentation and edge-detection. Further, object hierarchy was created, and a series of features water
bodies, vegetation, roads, residential areas, bare land and other information were extracted by the spectral and geometrical features. The results indicates that edge-detection make a positive effect on multiresolution segmentation, and overall accuracy of
information extraction reaches to 94.6 through confusion matrix.
Corresponding author: NIU Xuefeng1970-,male, associate professor, engaged in photogrammetry and remote sensing date processing ,E-mail:niusfjlu.edu.cn.
1. INTRODUCTION
In recent years, high-resolution satellite remote sensing technology has been developing rapidly, the high resolution
satellite image has spectral, geometry, space, texture, and other information. Traditional pixel-based information extraction
methods use only the spectral information, it is difficult to overcome the phenomenon widespread in the image that the
same bodies have different spectrum, different bodies have the same spectrum. Therefore, the information extraction
technology which is suitable for high-resolution remote sensing image based on multiresolution segmentation of object-
oriented has become inevitable. Since 2000, more and more scholars attend to multiresolution
segmentation based object-oriented information extraction method. Winhauck used this method with the traditional
method of visual interpretation of SPOT data for comparison identification results show that the classification accuracy is
better than the former
Winhauck,2000 . Hofmann combined
spectrum of the object, texture, shape with the background information to improve the classification accuracy of the
residential areas in IKONOS image Hofmann, 2001. Benz thinks that object-oriented extraction method in high-resolution
remote sensing images improve the efficiency of automatic extraction potential Benz, 2004. W. Myint, used pixel-based
extraction method and multiresolution segmentation method on object-oriented for extracting an QuickBird satellite image
respectively, the results show that the former accuracy is only 63.33, while the latter is up to 90.04 Soe, 2011. Du
Fenglan discussed the application of this method in the information extraction of IKONOS image Du, 2004. Sun
Xiaoxia used object-oriented methods to extract river and road from IKONOS images panchromatic Sun, 2006. Zhou
Chunyan taked the Object-oriented technique to extract high- resolution
remote sensing
images for
land use
classification,which overcomes the traditional method of salt and pepper effect , increased the overall accuracy than the
method of maximum likelihood Zhou, 2008. Tao Chao takes grading extraction for the city buildings based on this method
Tao, 2010. Chen Jie studied the multiresolution segmentation of multispectral image and object-oriented extraction method
which is based on rough sets and supports vector machine .In a word, the object-oriented extraction method based on the
multiresolution segmentation breakthroughs the limitation of traditional method, and achieved good results; it has great
development potential in information extraction of more and more abundant high resolution images, and is worth in-depth
study. In this study, Korea resources an area of ZY-3 satellite image
data as an example to study the information extraction method based on multiresolution segmentation, the canny algorithm is
used to detect the edge of the image first, and the results will be assisted in the original image multiresolution segmentation.
The spectral characteristics and the geometry features will be used to extract ground object information.
2. PRINCIPLE AND METHODS
