Results 31 to 40 of about 7,057 (212)
Remote Sensing, 2022 Road networks play a fundamental role in our daily life. It is of importance to extract the road structure in a timely and precise manner with the rapid evolution of urban road structure.
Hao Chen +4 more
doaj +1 more source
Automatic Road Extraction from Remote Sensing Images Based on Rectangle Marked Point Process
Canadian Journal of Remote Sensing, 2021 Aiming at solving inaccurate and incomplete extraction of road in remote sensing images, this paper proposes an automatic extraction algorithm based on Rectangle Marked Point Process (RMPP).
You Wu, Quanhua Zhao, Yu Li, Yiding Wang
doaj +1 more source
Remote Sensing, 2023 Road geometric information and a digital model based on light detection and ranging (LiDAR) can perform accurate geometric inventories and three-dimensional (3D) descriptions for as-built roads and infrastructures.
Yuchen Wang +6 more
doaj +1 more source
REVIEW - A reference data set for retinal vessel profiles [PDF]
, 2008 This paper describes REVIEW, a new retinal vessel reference dataset. This dataset includes 16 images with 193 vessel segments, demonstrating a variety of pathologies and vessel types. The vessel edges are marked by three observers using a special drawing
Al-Diri, Bashir +5 more
core +1 more source
, 2020 The brine shrimp Artemia, a small crustacean zooplankton organism, is universally used as live prey for larval fish and shrimps in aquaculture. In Artemia studies, it would be highly desired to have access to automated techniques to obtain the length ...
De Baets, Bernard +2 more
core +1 more source
ROAD AND ROADSIDE FEATURE EXTRACTION USING IMAGERY AND LIDAR DATA FOR TRANSPORTATION OPERATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Transportation agencies require up-to-date, reliable, and feasibly acquired information on road geometry and features within proximity to the roads as input for evaluating and prioritizing new or improvement road projects.
S. Ural, J. Shan, M. A. Romero, A. Tarko
doaj +1 more source
Accurate urban road centerline extraction from VHR imagery via multiscale segmentation and tensor voting [PDF]
Neurocomputing, 2016 Accurate road centerline extraction from very-high-resolution (VHR) remote sensing imagery has various applications, such as road map generation and updating etc. There are three shortcomings of existing methods: (a) due to noise and occlusions, most road extraction methods bring in heterogeneous classification results; (b) morphological thinning is a ...
Guangliang Cheng +4 more
openaire +1 more source
Road Extraction by Deep Residual U-Net
, 2017 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
Lane-Level Road Map Construction considering Vehicle Lane-Changing Behavior
Journal of Advanced Transportation, 2022 In recent years, the construction of lane-level road maps has received extensive attention from industry and academia. It has been widely studied because this kind of map provides the foundation for much research, such as high-precision navigation ...
Liang Fan +4 more
doaj +1 more source
Multi-stage Suture Detection for Robot Assisted Anastomosis based on Deep Learning
, 2017 In robotic surgery, task automation and learning from demonstration combined with human supervision is an emerging trend for many new surgical robot platforms.
Gu, Yun +3 more
core +1 more source