State of the art on automatic road extraction for GIS update: a novel classification
JB Mena - Pattern recognition letters, 2003 - Elsevier
This paper surveys the state of the art on automatic road extraction for GIS update from
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …
aerial and satellite imagery. It presents a bibliography of nearly 250 references related to …
[PDF][PDF] Artificial neural networks for the detection of road junctions in aerial images
Road junctions are important objects for traffic related tasks, vehicle navigation systems, but
also have a major role in topographic mapping. The paper describes an approach of …
also have a major role in topographic mapping. The paper describes an approach of …
Road junction extraction from high‐resolution aerial imagery
M Ravanbakhsh, C Heipke… - The Photogrammetric …, 2008 - Wiley Online Library
Road junctions are important components of a road network. However, they are usually not
explicitly modelled in existing road extraction approaches. In this research, road junctions …
explicitly modelled in existing road extraction approaches. In this research, road junctions …
Extracting road information from recorded GPS data using snap-drift neural network
F Ekpenyong, D Palmer-Brown, A Brimicombe - Neurocomputing, 2009 - Elsevier
Research towards an innovative solution to the problem of automated updating of road
network databases is presented. It moves away from existing methods where vendors of …
network databases is presented. It moves away from existing methods where vendors of …
[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 …
Status and further prospects of object extraction from image and laser data
F Rottensteiner - 2009 Joint Urban Remote Sensing Event, 2009 - ieeexplore.ieee.org
The automated extraction of topographic objects has been on the research agenda in the
Photogrammetry and Computer Vision communities for more than two decades …
Photogrammetry and Computer Vision communities for more than two decades …
Neural units with higher-order synaptic operations for robotic image processing applications
Neural units with higher-order synaptic operations have good computational properties in
information processing and control applications. This paper presents neural units with …
information processing and control applications. This paper presents neural units with …
[PDF][PDF] 一种面向高空间分辨率遥感影像的路口自动定位新方法
张伟伟, 毛政元 - 国土资源遥感, 2012 - cgsjournals.com
在系统归纳和分析现有的路口遥感信息提取方法的基础上, 提出一种面向高空间分辨率遥感影像
的路口自动定位新方法. 该方法首先通过低梯度运算获取同质区域; 然后设定阈值去除同质区内 …
的路口自动定位新方法. 该方法首先通过低梯度运算获取同质区域; 然后设定阈值去除同质区内 …
Detecting road junctions by artificial neural networks
Road junctions are important objects for all traffic related tasks, and are essential eg for
vehicle navigation systems. They also play a major role in topographic mapping. For …
vehicle navigation systems. They also play a major role in topographic mapping. For …
Road junction identification in high resolution urban sar images based on svm
J Cheng, T Liu, Y Zhou, Y Xiong - … of the 13th International Conference on …, 2020 - Springer
Road extraction in high resolution urban SAR (Synthetic Aperture Radar) images is a difficult
task because of multiplicative speckle noise and various interferences. Road junctions are …
task because of multiplicative speckle noise and various interferences. Road junctions are …