DocumentCode :
2283892
Title :
Automatic mapping of linear structures in 3-dimensional space from ground-penetrating radar data
Author :
Al-Nuaimy, Waleed ; Lu, Hui Hai ; Shihab, Sufyan ; Eriksen, Asger
Author_Institution :
Dept. of Electr. Eng. & Electron., Liverpool Univ., UK
fYear :
2001
fDate :
2001
Firstpage :
198
Lastpage :
201
Abstract :
Non-invasive geophysical techniques such as ground-penetrating radar allow rapid and low-cost investigation of the shallow subsurface for the detection of such features as utilities and plant. This paper presents a pattern recognition approach based on the 3-dimensional Hough transform for the detection of extended linear targets in ground-penetrating radar data. By transforming spatially extended patterns into spatially compact features in parameter space, a difficult global detection problem in data space becomes a more easily solved local peak detection problem in parameter space. Due to the sparseness and variability of the data, the accumulator peak detection stage is replaced by a novel algorithm called the adaptive non-accumulated Hough transform (ANHT) 3-dimensional clustering algorithm. This technique allows the combination of qualitative site information and ground truth in order to increase the accuracy of the final result. The user is presented with a 3-dimensional site survey report detailing the length, depth and orientations (azimuth and zenith) of any pipes, cables or the like. The ANHT performs substantially superior to the standard Hough transform implementation in computer memory requirement. Our experimental results on the artificial 3-dimensional linear objects indicate that method works quite well under various background conditions. The automatic mapping of linear structures in 3-dimensional space from ground-penetrating radar data is achieved by implementing the ANHT in the detection of linear targets in ground penetrating radar data
Keywords :
Hough transforms; adaptive signal processing; buried object detection; image recognition; pattern clustering; radar detection; radar imaging; remote sensing by radar; 3-dimensional Hough transform; 3-dimensional space; ANHT 3dimensional clustering algorithm; adaptive nonaccumulated Hough transform 3-dimensional clustering algorithm; automatic mapping; azimuth; depth; extended linear targets; global detection; ground-penetrating radar data; length; linear structures; noninvasive techniques; orientations; pattern recognition; plant; spatially compact features; spatially extended patterns; utilities; zenith; Cables; Clustering algorithms; Data engineering; Face detection; Geophysical measurements; Ground penetrating radar; Ground support; Pattern recognition; Radar detection; Spaceborne radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing and Data Fusion over Urban Areas, IEEE/ISPRS Joint Workshop 2001
Conference_Location :
Rome
Print_ISBN :
0-7803-7059-7
Type :
conf
DOI :
10.1109/DFUA.2001.985879
Filename :
985879
Link To Document :
بازگشت