DocumentCode :
2439352
Title :
Object-based feature extraction method using airborne laser Scanning data and aerial Photographs
Author :
Tan, Jiqiang ; Zhan, Qingming
Author_Institution :
State Key Lab. for Inf. Eng. in Surveying, Wuhan Univ., Wuhan, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
516
Lastpage :
519
Abstract :
This paper applied the object-based approach in feature extraction and classification of airborne laser Scanning data and aerial Photographs. The experiment results show that the method applied the complementary information of multi-resources image and information is effective.
Keywords :
feature extraction; geophysical image processing; image classification; image fusion; optical scanners; aerial Photographs; airborne laser scanning data classification; multiresources image information; object-based feature extraction method; Buildings; Data mining; Feature extraction; Image segmentation; Laser radar; Lasers; Remote sensing; aerial photograph; airborne laser scanning; feature extraction; information fusion; object-based;
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.2011.5964327
Filename :
5964327
Link To Document :
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