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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1027266
