Results 31 to 40 of about 568,064 (340)
Bump extraction algorithm for variable amplitude fatigue loading [PDF]
This paper presents the development of a fatigue mission synthesis algorithm, called Wavelet Bump Extraction (WBE), for summarising long records of fatigue road load data.
Abdullah, S +3 more
core +1 more source
Extracting Flooded Roads by Fusing GPS Trajectories and Road Network [PDF]
Urban roads are the lifeline of urban transportation and satisfy the commuting and travel needs of citizens. Following the acceleration of urbanization and the frequent extreme weather in recent years, urban waterlogging is occurring more than usual in summer and has negative effects on the urban traffic networks. Extracting flooded roads is a critical
Shiying She +4 more
openaire +2 more sources
Assessment of timber extraction distance and skid road network in steep karst terrain [PDF]
This study aims to define a simple and effective method to calculate skidding distances on steep karst terrain, rich in ground obstacles (stoniness and rockiness) to support decision planning of secondary and primary forest infrastructure network for ...
\u110uka, Andreja +4 more
core +2 more sources
Automatic extraction of road information based on data-driven methods is significant for various practical applications. Remote sensing (RS) images and GPS trajectories are two available data sources that can describe roads from a complementary ...
Yali Li +4 more
doaj +1 more source
Harvesting systems for steep terrain in the Italian Alps: state of the art and future prospects [PDF]
Steep slope forest operations in Central Europe and in particular in the Alps are strongly related to the adoption of the cable-based harvesting system, even if innovative ground-based harvesting system, even if innovative ground-based harvesting systems
Cavalli, Raffaele +2 more
core +1 more source
Road Extraction by Deep Residual U-Net
Road extraction from aerial images has been a hot research topic in the field of remote sensing image analysis. In this letter, a semantic segmentation neural network which combines the strengths of residual learning and U-Net is proposed for road area ...
Liu, Qingjie +2 more
core +1 more source
Bayesian Fusion of Multi-Scale Detectors for Road Extraction from SAR Images
This paper introduces an innovative road network extraction algorithm using synthetic aperture radar (SAR) imagery for improving the accuracy of road extraction.
Rui Xu +4 more
doaj +1 more source
RoadSeg-CD: A Network With Connectivity Array and Direction Map for Road Extraction From SAR Images
Road extraction from synthetic aperture radar (SAR) images has attracted much attention in the field of remote sensing image processing. General road extraction algorithms, affected by shadows of buildings and trees, are prone to producing fragmented ...
Fei Gao +4 more
doaj +1 more source
Future of oil and gas development in the western Amazon [PDF]
The western Amazon is one of the world's last high-biodiversity wilderness areas, characterized by extraordinary species richness and large tracts of roadless humid tropical forest.
Babbitt, Bruce +7 more
core +2 more sources
The extraction of road information from high-resolution remotely-sensed images has important application value in many fields. Rural roads have the characteristics of relatively narrow widths and diversified pavement materials; these characteristics can ...
Hai Tan, Zimo Shen, Jiguang Dai
doaj +1 more source

