DTM error minimization via adaptive smoothing

被引：0

作者：

Younan, NH ^{[1
]}

Lee, HS ^{[1
]}

King, RL ^{[1
]}

机构：

[1] Mississippi State Univ, Dept Elect & Comp Engn, Mississippi State, MS 39762 USA

来源：

IGARSS 2002: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM AND 24TH CANADIAN SYMPOSIUM ON REMOTE SENSING, VOLS I-VI, PROCEEDINGS: REMOTE SENSING: INTEGRATING OUR VIEW OF THE PLANET | 2002年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 in this paper. The results indicate that DTMs error can be minimized through the adaptive process.

引用

页码：3611 / 3613

页数：3

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