Multiscale centerline detection by learning a scale-space distance transform
We propose a robust and accurate method to extract the centerlines and scale of tubular
structures in 2D images and 3D volumes. Existing techniques rely either on filters designed …
structures in 2D images and 3D volumes. Existing techniques rely either on filters designed …
Automated reconstruction of dendritic and axonal trees by global optimization with geometric priors
We present a novel probabilistic approach to fully automated delineation of tree structures in
noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local …
noisy 2D images and 3D image stacks. Unlike earlier methods that rely mostly on local …
[图书][B] Automated extraction of digital terrain models, roads and buildings using airborne LiDAR data
Y Hu - 2003 - collectionscanada.gc.ca
Airborne lidar has become a commercially viable remote sensing platform, and can provide
accurate elevation data about both topographic surfaces and non-terrain objects. Its …
accurate elevation data about both topographic surfaces and non-terrain objects. Its …
Automatic extraction of building boundaries using aerial LiDAR data
Building extraction is one of the main research topics of the photogrammetry community.
This paper presents automatic algorithms for building boundary extractions from aerial …
This paper presents automatic algorithms for building boundary extractions from aerial …
Image analysis and computer vision: 1998
A Rosenfeld - Computer vision and image understanding, 1999 - Elsevier
This paper presents a bibliography of over 2250 references related to computer vision and
image analysis, arranged by subject matter. The topics covered include computational …
image analysis, arranged by subject matter. The topics covered include computational …
Automatic road extraction from LIDAR data based on classifier fusion
F Samadzadegan, M Hahn… - 2009 Joint Urban Remote …, 2009 - ieeexplore.ieee.org
The ultimate goal of pattern recognition systems in remote sensing is to achieve the best
possible classification performance for recognition of different objects such as buildings …
possible classification performance for recognition of different objects such as buildings …
Delineating trees in noisy 2D images and 3D image-stacks
We present a novel approach to fully automated delineation of tree structures in noisy 2D
images and 3D image stacks. Unlike earlier methods that rely mostly on local evidence, our …
images and 3D image stacks. Unlike earlier methods that rely mostly on local evidence, our …
[图书][B] Updating of cartographic road databases by image analysis
C Zhang, EP Baltsavias, A Grün - 2001 - research-collection.ethz.ch
The extraction of road networks from aerial images is one of the current challenges in digital
photogrammetry and computer vision. In this paper, we present our system for 3D road …
photogrammetry and computer vision. In this paper, we present our system for 3D road …
[PDF][PDF] Automatic extraction of main road centerlines from high resolution satellite imagery using hierarchical grouping
X Hu, V Tao - Photogrammetric Engineering and Remote Sensing, 2007 - Citeseer
Automatic road centerline extraction from high-resolution satellite imagery has gained
considerable interest recently due to the increasing availability of commercial high …
considerable interest recently due to the increasing availability of commercial high …
A reliable and fast ribbon road detector using profile analysis and model‐based verification
X Hu, CV Tao - International Journal of Remote Sensing, 2005 - Taylor & Francis
Ribbon roads are typical and important geospatial features. In this paper, we proposed a
model‐based method for extracting ribbon road features from remotely sensed imagery …
model‐based method for extracting ribbon road features from remotely sensed imagery …