TY - JOUR
T1 - Health assessment of tree trunk by using acoustic-laser technique and sonic tomography
AU - Qin, Renyuan
AU - Qiu, Qiwen
AU - Lam, Josh H. M.
AU - Tang, Alvin M. C.
AU - Leung, Mike W. K.
AU - Lau, Denvid
PY - 2018/7
Y1 - 2018/7
N2 - An innovative tree defect detection scheme, which combines acoustic-laser technique and sonic tomography, is studied. A new sensor distribution can be adopted based on the near-surface response detected by acoustic-laser technique, and a more reliable image of the tree trunk can be observed by sonic tomography. By using such hybrid detection scheme, the near-surface defects (bark detachment, cracks, decay) can be revealed at the early stages of defect development. The accuracy of defect detection during advanced tree risk assessment is therefore highly improved. As a newly developed detection technique for detecting the near-surface defect in tree trunk, the measurement results of acoustic-laser technique in tree trunk are comprehensively discussed, especially toward the detectable depth beneath the tree surface. The experimental results demonstrated that the acoustic-laser technique can identify the presence of near-surface defects in a tree trunk that are normally overlooked by the conventional sonic tomography measurements with random distribution of sensors.
AB - An innovative tree defect detection scheme, which combines acoustic-laser technique and sonic tomography, is studied. A new sensor distribution can be adopted based on the near-surface response detected by acoustic-laser technique, and a more reliable image of the tree trunk can be observed by sonic tomography. By using such hybrid detection scheme, the near-surface defects (bark detachment, cracks, decay) can be revealed at the early stages of defect development. The accuracy of defect detection during advanced tree risk assessment is therefore highly improved. As a newly developed detection technique for detecting the near-surface defect in tree trunk, the measurement results of acoustic-laser technique in tree trunk are comprehensively discussed, especially toward the detectable depth beneath the tree surface. The experimental results demonstrated that the acoustic-laser technique can identify the presence of near-surface defects in a tree trunk that are normally overlooked by the conventional sonic tomography measurements with random distribution of sensors.
UR - http://www.scopus.com/inward/record.url?scp=85046827922&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85046827922&origin=recordpage
U2 - 10.1007/s00226-018-1016-z
DO - 10.1007/s00226-018-1016-z
M3 - RGC 21 - Publication in refereed journal
SN - 0043-7719
VL - 52
SP - 1113
EP - 1132
JO - Wood Science and Technology
JF - Wood Science and Technology
IS - 4
ER -