A model-driven-to-sample-driven method for rural road extraction
J Dai, R Ma, L Gong, Z Shen, J Wu - Remote Sensing, 2021 - mdpi.com
Road extraction in rural areas is one of the most fundamental tasks in the practical
application of remote sensing. In recent years, sample-driven methods have achieved state …
application of remote sensing. In recent years, sample-driven methods have achieved state …
Semi-automatic extraction of rural roads from high-resolution remote sensing images based on a multifeature combination
J Dai, R Ma, H Ai - IEEE Geoscience and Remote Sensing …, 2020 - ieeexplore.ieee.org
Roads play a vital role in rural economic development. However, rural roads feature
irregular curvature changes, are narrow, and are built using diverse construction materials …
irregular curvature changes, are narrow, and are built using diverse construction materials …
Tire pattern similarity detection based on template matching and LBP
CAI Chengtao, LIN Mengqun - 2019 3rd International …, 2019 - ieeexplore.ieee.org
Before testing the similarity of the tire pattern, the following problems must be solved: the
background image of the tire is complicated, the angle of the pattern is varied, and the …
background image of the tire is complicated, the angle of the pattern is varied, and the …
An Image Recognition Method of Substation Switch State Based on Robot Vision
Y Yang, M Nie, X Mai, H Wu… - … Conference on Power …, 2018 - ieeexplore.ieee.org
It is an effective way to identify substation switch state using deep learning directly based on
massive large image samples, which requires high-performance servers for off-line model …
massive large image samples, which requires high-performance servers for off-line model …