Title :
Detect the different structures of vegetation patches using circular hough transform at Gudong oil field
Author :
Liu, Qingsheng ; Huang, Dan ; Chu, Xiaolei
Author_Institution :
State Key Lab. of Resources & Environ. Inf. Syst., Inst. of Geographic Sci. & Natural Resources Res., Beijing, China
Abstract :
The extending phenomenon of vegetation community caused by seismic exploration of Shengli Oil Field has been found in the many areas of the Yellow River Delta. The spatial structure of vegetation community is believed to have an influence on the landscape pattern and functions of wetland ecosystem. Numbers, areas, shapes and locations of vegetation community patch are the important parameters for vegetation function and structure researches. In this paper, Vegetation community patches with the different spatial shapes are extracted from SPOT 5 high spatial resolution fusion images using Circular Hough Transform (CHT). The total detection accuracy of the patches is about 89.4%. The experiments show that CHT is simple and effective for detecting vegetation patches from the SPOT 5 high resolution fusion images.
Keywords :
Hough transforms; feature extraction; geophysical image processing; image fusion; image resolution; object detection; seismology; vegetation; vegetation mapping; China; Gudong oil field; SPOT 5 high spatial resolution fusion image; Shengli oil field; Yellow River Delta; circular Hough transform; landscape pattern; seismic exploration; spatial shape; vegetation community spatial structure; vegetation function; vegetation patch structure detection; wetland ecosystem function; Accuracy; Communities; Rivers; Shape; Spatial resolution; Transforms; Vegetation mapping; SPOT 5 high resolution fusion image; circular hough transform; detect; vegetation patches;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2012 9th International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4673-0025-4
DOI :
10.1109/FSKD.2012.6234106
