DocumentCode :
2031692
Title :
Morphological Processing of Severely Occluded Digital Elevation Images to Extract and Connect Stream Channels
Author :
Cho, Hyun-chong ; Slatton, K. Clint
Author_Institution :
Florida Univ., Gainesville
Volume :
2
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Recent advances in technology have enabled the acquisition of high-resolution topographic data by means of airborne laser swath mapping (ALSM), which can yield digital elevation models (DEMs) with horizontal resolutions of 1m. A DEM is a grayscale image wherein pixel value corresponds to elevation. Using ALSM imaging systems over forested terrain, we filter out the laser returns from the occluding foliage and estimate bare-surface DEMs. Extracting stream networks from DEMs is important for modeling many hydrological processes. We apply a sequence of morphological operations to an ALSM DEM to detect stream channels in forested terrain. We verify the accuracy of the results using a set of error measures over simulated terrain and also using GPS ground truth over real terrain. For linking disconnected stream segments, a measure of pixel connectivity is used.
Keywords :
Global Positioning System; data acquisition; digital elevation models; hidden feature removal; image processing; terrain mapping; GPS; airborne laser swath mapping; digital elevation models; forested terrain; grayscale image; morphological processing; occluded digital elevation images; occlusion; stream channels; topographic data acquisition; Data mining; Digital elevation models; Filters; Gray-scale; High-resolution imaging; Laser modes; Laser radar; Morphological operations; Pixel; Streaming media; Lidar; connectivity number; digital elevation models; morphology; stream delineation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379137
Filename :
4379137
Link To Document :
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