DocumentCode :
2444135
Title :
Object-oriented QuickBird image sandy area feature information extraction and analysis in the north of Yanchi County
Author :
Cheng, Wei ; Zhang, Yuqing ; Wu, Xiuqin ; Song, Fanlin ; Zhao, Ziyang ; Zhou, Tao
Author_Institution :
Coll. of Soil & Water Conservation, Beijing Forestry Univ., Beijing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1384
Lastpage :
1387
Abstract :
In order to rapidly and accurately extract the feature information of sandy area in the north of Yanchi County, the QuickBird high-resolution remote sensing images were selected as data source. The choice of the best segmentation scale was analysed in depth. The way of object-oriented supervised classification and object-oriented classification by rules were used into information extraction. The results show object-oriented image feature classification can quickly extract characteristic information of sandy area in the north of Yanchi County by choosing the appropriate scale image segmentation and rules which is determined by the different characteristics of extraction information.
Keywords :
feature extraction; geophysical image processing; image classification; image segmentation; object-oriented methods; remote sensing; China; Yanchi County; object-oriented QuickBird image; remote sensing; sandy area feature information extraction; segmentation scale; supervised classification; Cognition; Data mining; Feature extraction; Forestry; Hyperspectral sensors; Image segmentation; ENVI; QuickBird image; object-oriented; sandy area; segmentation scale;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9172-8
Type :
conf
DOI :
10.1109/RSETE.2011.5964539
Filename :
5964539
Link To Document :
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