DocumentCode
483993
Title
A Preprocessing Method for Automatic Break Lines Detection
Author
Belkhouche, M. Yassine ; Buckles, Bill P. ; Yuan, Xiaohui ; Steinberg, Laura
Author_Institution
Dept. of Comput. Sci. & Eng., Univ. of North Texas, Denton, TX
Volume
2
fYear
2008
fDate
7-11 July 2008
Abstract
We present a preprocessing method for automatic break line detection. Our method is given a set of edges (break lines and non-break lines) we eliminate the non-break line edges leaving only those with higher probability of being break lines. Our method is based on fusing IR images and LiDAR cloud points. In the first step, we apply the Canny edge detection algorithm to the IR images (producing a superset of break lines). Then we project the LiDAR points onto a 2-D plane, ignoring the set of points that are greater than a selected threshold (different elevation thresholds have been selected), which allows the footprints of some elevated structures to appear clearly in the set of projected points. Those structures that appear in both LiDAR points and IR images are used as references for registration of LiDAR cloud points with the IR images. After registration, we eliminate all the edges that appear in flat areas, which is achieved by applying a 3D filter to the LiDAR points.
Keywords
edge detection; geophysical signal processing; geophysical techniques; image fusion; image registration; infrared imaging; optical radar; radiometry; remote sensing by laser beam; 3D filter; Canny edge detection algorithm; IR images; LiDAR cloud points; automatic break line detection; data fusion; image registration; nonbreak line edge elimination; preprocessing method; Buildings; Clouds; Computer science; Filters; Image edge detection; Image resolution; Infrared detectors; Infrared imaging; Interpolation; Laser radar; LiDAR; break lines; edge detection; edge elimination; infrared images; registration;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-2807-6
Electronic_ISBN
978-1-4244-2808-3
Type
conf
DOI
10.1109/IGARSS.2008.4778975
Filename
4778975
Link To Document