DocumentCode
2142867
Title
DTM error minimization via adaptive smoothing [LIDAR forest measurements]
Author
Younan, N.H. ; Lee, H.S. ; King, R.L.
Author_Institution
Dept. of Electr. & Comput. Eng., Mississippi State Univ., MS, USA
Volume
6
fYear
2002
fDate
24-28 June 2002
Firstpage
3611
Abstract
Airborne light detection and ranging (LIDAR) is emerging as a tool to provide accurate digital terrain models (DTMs) of forest areas since it can measure bare earth beneath the canopy. In an attempt to minimize the error in generating DTMs, an adaptive smoothing technique is presented. The results indicate that DTM error can be minimized through the adaptive process.
Keywords
optical radar; remote sensing by laser beam; smoothing methods; terrain mapping; adaptive process; adaptive smoothing technique; airborne lidar; airborne light detection and ranging; digital terrain models; digital terrain models error minimization; forest areas; sub-canopy bare soil; Computer errors; Data mining; Digital elevation models; Forestry; Interpolation; Laser radar; Pulse measurements; Smoothing methods; Surface emitting lasers; Vegetation mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN
0-7803-7536-X
Type
conf
DOI
10.1109/IGARSS.2002.1027266
Filename
1027266
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