Object-oriented information extraction of forest resources from high resolution remote sensing

2006 ◽  
Author(s):  
Dengkui Mo ◽  
Hui Lin ◽  
Hua Sun ◽  
Jiping Li ◽  
Yujiu Xiong ◽  
...  
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Information Extraction ◽  
Object Oriented ◽  
Forest Resources

scholarly journals U-net Network for Building Information Extraction of Remote-Sensing Imagery

2018 ◽  
Vol 14 (12) ◽  
pp. 179
Author(s):  
Jingtan Li ◽  
Maolin Xu ◽  
Hongling Xiu
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Information Extraction ◽  
Image Data ◽  
Semantic Segmentation ◽  
Remote Sensing Image ◽  
Remote Sensing Images ◽  
Training Set ◽  
Building Information ◽  
The Face

With the resolution of remote sensing images is getting higher and higher, high-resolution remote sensing images are widely used in many areas. Among them, image information extraction is one of the basic applications of remote sensing images. In the face of massive high-resolution remote sensing image data, the traditional method of target recognition is difficult to cope with. Therefore, this paper proposes a remote sensing image extraction based on U-net network. Firstly, the U-net semantic segmentation network is used to train the training set, and the validation set is used to verify the training set at the same time, and finally the test set is used for testing. The experimental results show that U-net can be applied to the extraction of buildings.

Information Extraction of High-Resolution Remotely Sensed Imagery Based on Object-Oriented Method

2014 ◽  
Vol 513-517 ◽  
pp. 1527-1531
Author(s):  
Fu Lei Zhan ◽  
Guo Dong Yang ◽  
Xu Qing Zhang ◽  
Xue Feng Niu ◽  
Peng Shao ◽  
...  
Keyword(s):  
High Resolution ◽  
Information Extraction ◽  
World View ◽  
Object Oriented ◽  
Object Oriented Method ◽  
Thematic Map ◽  
Remotely Sensed Imagery ◽  
Rule Sets ◽  
High Resolution Satellite Imagery ◽  
Extract Information

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.

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