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