DocumentCode :
3350483
Title :
Using SPOT 5 high spatial resolution image to detect vegetation patches at Gudong oil field
Author :
Qingsheng Liu ; Gaohuan Liu ; Chong Huang ; Chuanjie Xie
Author_Institution :
State Key Lab. of Resources & Environ. Inf. Syst., Chinese Acad. of Sci., Beijing, China
Volume :
4
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
1877
Lastpage :
1880
Abstract :
Numbers and areas and locations of vegetation community patch are the important parameters for vegetation function and structure researches. In this paper, vegetation community patches are extracted using SPOT 5 high spatial resolution fusion image based on mathematical morphology. Firstly, vegetation is extracted according to the scatter plot between B3 and B2. Then vegetation community patches are detected based on the criterion of circle and ellipse object. And the centers of the patches are located. Finally, two types of the spatial structure models of vegetation communities are outlined. The experiments at Gudong oil field show that the algorithms for extracting circle and ellipse object based on mathematical morphology are simple and effective for detecting vegetation community patch.
Keywords :
geophysical image processing; vegetation mapping; China; Gudong oil field; SPOT 5 high spatial resolution fusion image; circle object; ellipse object; mathematical morphology; spatial structure models; structure researches; vegetation community patch; vegetation function; Communities; Morphology; Remote sensing; Satellites; Shape; Spatial resolution; Vegetation mapping; Gudong oil filed; SPOT 5; detecting; vegetation patch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location :
Shanghai
ISSN :
2157-9555
Print_ISBN :
978-1-4244-9950-2
Type :
conf
DOI :
10.1109/ICNC.2011.6022600
Filename :
6022600
Link To Document :
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