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DEM 超分辨率重构对梯田坡度提取的影响研究
张宏鸣1; 张宏鸣1; 杨江涛2; 杨勤科3; 王春梅3; 李锐4
Source Publication农业机械学报

( DEM) 提取。区域尺度上,高分辨率坡度数据由于DEM 获取途径、方式等原因,较难获得,通常通过超分辨率重构
( 又称降尺度变换) 得到。以黄土高原地区水平梯田地形为研究对象,基于无人机摄影测量技术,生成不同分辨率
的DEM 数据并提取坡度,设计并给出了基于稀疏混合估计对DEM 数据进行超分辨率重构的方法及流程,并与最

Other Abstract

Slope is one of the key factors which had a close relationship with soil and water losses and
land use planning,and it is one of the most important pieces of information in many natural source spatial
databases. Slope was usually extracted from digital elevation model ( DEM) in regional scale. However,
it is difficult to obtain DEMs with grid size less than 10-m from continental or country scale topographic
maps that are needed to include topographic changes due to terraces because of manpower and financial
restrictions. Thus the high resolution DEMs were usually obtained by super-resolution reconstruction or
down scaling from low resolution DEMs. As a basic data source,high resolution DEMs created by superresolution
methods do influence the extraction of slope. Dry terraced fields in the hilly loess region around
Longquan of Yuzhong County were taken as study area. DEMs and orthophotos obtained in March,2015
by UAV-based photogrammetry were used. The resolution of the DEMs data was generated in 5 m,10 m,
20 m and 40 m respectively for slope produce. Sparse mixed estimation method ( SME) ,nearest method,
bilinear method and cubic method were used for DEMs reconstruction. Finally,the slope was calculated
from original DEMs and reconstructed DEMs. The result showed that the SME method was the best
method in DEMs super resolution reconstruction for extraction of slope.

Keyword侵蚀 梯田 坡度 超分辨率重构 稀疏混合估计
Indexed By中文核心期刊要目总览
Document Type期刊论文
Recommended Citation
GB/T 7714
张宏鸣,张宏鸣,杨江涛,等. DEM 超分辨率重构对梯田坡度提取的影响研究[J]. 农业机械学报,2017,48(1):112-138.
APA 张宏鸣,张宏鸣,杨江涛,杨勤科,王春梅,&李锐.(2017).DEM 超分辨率重构对梯田坡度提取的影响研究.农业机械学报,48(1),112-138.
MLA 张宏鸣,et al."DEM 超分辨率重构对梯田坡度提取的影响研究".农业机械学报 48.1(2017):112-138.
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