A Hierarchical Object Oriented Method for Information Extraction of Sandy Land with ALOS Imagery

2012 ◽  
Vol 10 (1) ◽  
pp. 236-244
Author(s):  
Jieqing Qu ◽  
Dongling Zhao ◽  
Jianyu Yang ◽  
Chao Zhang ◽  
Anzhi Yue ◽  
...  
2014 ◽  
Vol 513-517 ◽  
pp. 1527-1531
Author(s):  
Fu Lei Zhan ◽  
Guo Dong Yang ◽  
Xu Qing Zhang ◽  
Xue Feng Niu ◽  
Peng Shao ◽  
...  

In this study, on the basis of pixel-based classification, object-oriented classification method was used to extract information from high resolution satellite imagery. Select the Binhai New Area as the study area,World View-2 data was selected as data sources, the rule sets of information extraction developing were established firstly, then the parameters of imagery segmentation and classification were tested repeatedly to achieve building hierarchies and map elements. The results showed that object-oriented information extraction method was feasible, and the extracted information was used to produce thematic map on the ArcGIS platform.


2014 ◽  
Vol 1078 ◽  
pp. 286-289
Author(s):  
Xi Feng Yan ◽  
Jing Lan Wang ◽  
You Hua Zhou ◽  
Feng Liu

Information extraction of object oriented method was applied to study the land use change, this paper puts forward a kind of application of object oriented remote sensing image classification to extract land change information extraction methods to change the land use, introduces the calculation of object oriented classification, classification of ideas and technology process, automatic extraction of water information in the process of classification to discuss the specific computer.


Author(s):  
J. Chen ◽  
W. Chen ◽  
A. Dou ◽  
W. Li ◽  
Y. Sun

A new information extraction method of damaged buildings rooted in optimal feature space is put forward on the basis of the traditional object-oriented method. In this new method, ESP (estimate of scale parameter) tool is used to optimize the segmentation of image. Then the distance matrix and minimum separation distance of all kinds of surface features are calculated through sample selection to find the optimal feature space, which is finally applied to extract the image of damaged buildings after earthquake. The overall extraction accuracy reaches 83.1 %, the kappa coefficient 0.813. The new information extraction method greatly improves the extraction accuracy and efficiency, compared with the traditional object-oriented method, and owns a good promotional value in the information extraction of damaged buildings. In addition, the new method can be used for the information extraction of different-resolution images of damaged buildings after earthquake, then to seek the optimal observation scale of damaged buildings through accuracy evaluation. It is supposed that the optimal observation scale of damaged buildings is between 1 m and 1.2 m, which provides a reference for future information extraction of damaged buildings.


2009 ◽  
Author(s):  
Junjie Zhu ◽  
Xiangtao Fan ◽  
Huadong Guo ◽  
Changlin Wang ◽  
Jian Tan ◽  
...  

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