Analysis of Terrain Roughness with Object-Oriented Method for the Landslide
碩士 === 國立成功大學 === 資源工程學系碩博士班 === 96 === Traditional method to classify region of landslide by satellite or aviation imagery is either supervised or unsupervised classification. Both of these two methods didn’t fulfill the requirement of least mistaken sorting results. The worst drawback of using suc...
Main Authors: | Chun-Lang Chen, 陳俊良 |
---|---|
Other Authors: | Ting-To Yu |
Format: | Others |
Language: | zh-TW |
Published: |
2008
|
Online Access: | http://ndltd.ncl.edu.tw/handle/14325353986363898935 |
Similar Items
-
Multi-Aspect Analysis of Object-Oriented Landslide Detection Based on an Extended Set of LiDAR-Derived Terrain Features
by: Kamila Pawłuszek, et al.
Published: (2019-07-01) -
Profiling of rough terrain
by: Becker, Carl Martin
Published: (2013) -
Object-Based Image Analysis and Digital Terrain Analysis for Locating Landslides in the Urmia Lake Basin, Iran
by: Thomas Blaschke, et al.
Published: (2014-01-01) -
ABS braking on rough terrain
by: Hamersma, H.A. (Herman Adendorff)
Published: (2017) -
Intelligent Multi-Robot System for Collaborative Object Transportation Tasks in Rough Terrains
by: Daegyun Choi, et al.
Published: (2021-06-01)