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Title:ZAZNAVA DALJNOVODOV V PODATKIH LIDAR
Authors:ID Cvirn, Robi (Author)
ID Mongus, Domen (Mentor) More about this mentor... New window
Files:.pdf MAG_Cvirn_Robi_2015.pdf (6,12 MB)
MD5: DFB867CBD4630B26D0B8E182885C3CA9
 
Language:Slovenian
Work type:Master's thesis/paper
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V tem magistrskem delu predstavljamo novo metodo za razpoznavo daljnovodov v podatkih LiDAR. Ker so ti predstavljeni kot množice linearno razporejenih točk nad terenom, izvedemo zaznavo področij na katerih se ti nahajajo s pomočjo cilindrične transformacije na osnovi morfološkega odpiranja. S pragovnim filtrom zaznamo predele z visokim odzivom, nato pa preverimo linearnost njihove porazdelitve s postopkom lokalnega prilagajanja premic. Slednjega ponovimo dvakrat, pri čemer najprej zaznamo položaje daljnovodov, nato pa razpoznamo točke posameznih vodnikov. V zadnjem koraku metode razpoznamo še stebre daljnovodov. Predlagana metoda je hitra, saj je zmožna obdelati 5 milijonov točk v manj kot 40 sek. Glede na rezultate opravljenih eksperimentov, pa metoda dosega točnost in specifičnost razpoznave nad 60% ter natančnost nad 99%.
Keywords:LiDAR, razpoznava vzorcev, matematična morfologija, geografski informacijski sistemi
Place of publishing:[Maribor
Publisher:R. Cvirn
Year of publishing:2015
PID:20.500.12556/DKUM-54309 New window
UDC:004.93:621.315.1(043.2)
COBISS.SI-ID:19304214 New window
NUK URN:URN:SI:UM:DK:ZP3WRP0J
Publication date in DKUM:14.10.2015
Views:1868
Downloads:259
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:DETECTION OF POWER TRANSMISSION LINES IN LIDAR DATA
Abstract:In the master thesis we present a new method for detecting power transmission lines within the LiDAR data. As they are presented by linearly distributed sets of points above the ground, we detect areas on which they are located using the top-hat transformation based on the morphological opening. Thresholding is then applied in order to extract areas with high responses. Here, locally fitted surfaces are used twice. First they are used for the detect of power transmission lines and then for identifying points representing a single conductor. In the last step of the method, detection of the transmission towers is achieved. The proposed method is reliable and also fast as it can process 5 million points in less than 40 sec. Experiments show that the method reaches the precision and the specificity above 60%, while the accuracy of the method is above 99%.
Keywords:LiDAR, pattern recognition, mathematical morphology, geographic information systems


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