Object-Oriented Classification for the Net Primary Production Parameters Extraction with LiDAR
碩士 === 國立成功大學 === 資源工程學系碩博士班 === 96 === Due to the rapid development of remote sensing technology, the remote sensed image data had widely used in evaluating the forest resource inventory. Traditional method to estimate the NPP with AVHRR or MODIS satellite images. The penetrating rate of plantation...
Main Authors: | Chih-yuan wu, 吳志遠 |
---|---|
Other Authors: | Teng-to yu |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/64022601118194850454 |
Similar Items
-
Object points extraction and classification of mobile LiDAR point clouds
by: LIU Hua
Published: (2020-11-01) -
Object-Based Classification for LiDAR Point Cloud
by: Keng-Fan Lin, et al.
Published: (2012) -
Object Classification Using Airborne Multispectral LiDAR Data
by: PAN Suoyan, et al.
Published: (2018-02-01) -
Multispectral LiDAR Point Cloud Classification Using SE-PointNet++
by: Zhuangwei Jing, et al.
Published: (2021-06-01) -
A Novel LiDAR Data Classification Algorithm Combined CapsNet with ResNet
by: Aili Wang, et al.
Published: (2020-02-01)