.png){kind=icon}
返回
A multi-terrain feature-based deep convolutional neural network for constructing super-resolution DEMs
.png){kind=icon}
OA
AI
DOI：10.1016/j.jag.2023.103338.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Scale conversion between DEMs is an important issue in geomorphometry. There are many mature studies on the generation of low-resolution(LR) DEMs from high-resolution(HR) DEMs. However, as an important and conve-nient means of obtaining HR DEMs, traditional super resolution (SR) methods have shown insufficient consid-eration of the terrain features embedded in DEMs. Therefore, this article investigates the combination of terrain features and the use of convolutional neural networks (CNN) to reconstruct HR DEMs, and proposes a multi -terrain feature-based deep CNN for super-resolution(SR) DEMs (MTF-SR). In the experiments, from the perspective of vector and raster terrain features, we fuse raster terrain features in the input and loss functions, and fuse vector terrain features in the optimization of the output of the model. The results show that the MTF-SR model has a 30-50 % reduction in mean absolute error (MAE) compared with interpolation methods, has the lowest slope and aspect error and has a 10 to 30 % improvement in streamline matching rate (SMR). These results point to the advantages of the method in overall elevation accuracy and the preservation of terrain features.
Keyword:
Terrain features
Convolutional neural networks
Digital elevation models
Super -resolution
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
8.6
论文数:
5.3K
被引数:
2.4W
机构
引用论文
The influence of food availability on the breeding effort and reproductive success of Arctic Skuas Stercorarius parasiticus.png)
Ibis
IbisIF0
PREAI
分享收藏Comparison of DEM Super-Resolution Methods Based on Interpolation and Neural NetworksSENSORSOAAI
SENSORSIF3.5
OAAI分享收藏Red, green, and blue electrochromism in ambipolar poly(amine–amide–imide)s based on electroactive tetraphenyl‐p‐phenylenediamine units基于电活性四苯基 p-苯二胺单元的双极性聚 (胺-酰胺-酰亚胺) 中的红色，绿色和蓝色电致变色
PREAI
分享收藏Accuracy of interpolation techniques for the derivation of digital elevation models in relation to landform types and data densityGEOMORPHOLOGY
GEOMORPHOLOGYIF3.3
PREAI
分享收藏
查看更多内容