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OBJECT DETECTION FROM MMS IMAGERY USING DEEP LEARNING FOR GENERATION OF ROAD ORTHOPHOTOS
Object detection Vehicle and its shadow detection Deep learning Faster R-CNN Road orthophoto Mobile mapping system
2018/6/4
In recent years, extensive research has been conducted to automatically generate high-accuracy and high-precision road orthophotos using images and laser point cloud data acquired from a mobile mappin...
FROM THE ROAD SIGN TO THE MAP: 3D MODELING IN SUPPORT OF THE URBAN AND RURAL ROAD CONDITIONS
aerial photogrammetry points cloud road sign drone UAV
2017/6/20
Unmanned Aerial Vehicles (UAV), commonly known as a drone, and an Unmanned Aircraft Systems (UAS) have been spreading on a massive scale during the last few years, especially for civilian use. And thi...
AN AUTOMATED GRASS-BASED PROCEDURE TO ASSESS THE GEOMETRICAL ACCURACY OF THE OPENSTREETMAP PARIS ROAD NETWORK
Accuracy FOSS4G GRASS Open data OpenStreetMap Road network Volunteered Geographic Information
2016/11/24
OpenStreetMap (OSM) is the largest spatial database of the world. One of the most frequently occurring geospatial elements within this database is the road network, whose quality is crucial for applic...
AUTOMATIC ROAD SIGN INVENTORY USING MOBILE MAPPING SYSTEMS
Mobile Mapping System Point cloud segmentation Road sign inventory Image processing Classification
2016/7/28
The periodic inspection of certain infrastructure features plays a key role for road network safety and preservation, and for developing optimal maintenance planning that minimize the life-cycle cost ...
ROAD SIGNS DETECTION AND RECOGNITION UTILIZING IMAGES AND 3D POINT CLOUD ACQUIRED BY MOBILE MAPPING SYSTEM
Road Signs Detection and Recognition Mobile Mapping System (MMS) Object Based Image Analysis Multi-Scale Image Segmentation 3D Point Cloud
2016/7/5
High-definition and highly accurate road maps are necessary for the realization of automated driving, and road signs are among the most important element in the road map. Therefore, a technique is nec...
Automatic detection of changes in road data bases using satellite imagery
Automatic detection changes satellite imagery
2016/5/20
An automatic procedure is developed for detection of changes between an existing road database and a newly registered satellite image, rectified to an orthophoto.
Road Data Updating Using Tools of Matching and Map Generalization
Map Generalization Updating Road Data Matching Selective Omission
2015/12/16
It is one of the important ways for GIS data updating based on map generalization. This paper analyzes the main steps for road data updating based on map generalization. As the core of this updating p...
Semi-Automatic Extraction of Different-Shaped Road Centerlines from Ms and Pan-Sharped IKONOS Images
Image processing Road extraction Space photogrammetry Clustering Updating
2015/12/9
In this work we develop semi-automatic road extraction system for updating and storage road network data bases. Combination of some of the existing road extraction techniques such as spectral and spat...
Road Extraction from SAR Image Using an Improved Statistical Algorithm
Road extraction Feature extraction SAR image Speckle statistics Phase grouping
2015/12/9
An efficient statistical algorithm of automatic extracting road from SAR images is devised in this paper. First, an feature detecting operator is used to find the road candidate. Then another smaller ...
Application of Neural Networks, Image Processing and Cad-Based Environments Facilities in Automatic Road Extraction and Vectorization from High Resolution Satellite Images
Automatic CAD Image processing High resolution images Neural networks Road extraction Vectorization
2015/12/9
In this article a new procedure that was designed to extract road centerline from high resolution satellite images, is presented. The results (road Networks) are fully structured in vector formed in C...
Road Extraction for the Update of Road Database in Suburban Areas
Image understanding Road extraction Computer Vision Feature extraction Updating
2015/12/9
This paper deals with road extraction in suburban areas from high resolution aerial images. The extraction results are intended to be used for updating a road database. The road extraction algorithm f...
Road Network Detection by Growing Neuron Gas
neural network image analysis self-organization
2015/12/9
The growing neuron gas (GNG) algorithm is an excellent self-organization tool, which efficiently combines the graph and neural network techniques. The gas formation starts with two connected neurons a...
Semi-Automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by Cooperation of Angular Texture Signature and Template Matching
Road extraction Semi-automatic Angular texture signature Template matching
2015/12/9
Road tracking is a promising technique to increase the efficiency of road mapping. In this paper an improved road tracker, based on cooperation between angular texture signature and template matching,...
Road Extraction from High Resolution Remote Sensing Image Based on Mathematics Morphology and Seed Growth
road extraction high resolution remote sensing image seed growth mathematics morphology
2015/12/9
Extracting the targets information from the remote sensing image has become the important method of updating the spatial geography information. With the development of spatial technology, sensor techn...
Road Extraction from High-Resolution Remote Sensing Image Based on Phase Classification
Road network extraction High-resolution remote sensing image Characteristic extraction
2015/12/9
It is still an open problem to extract road feature from high-resolution remote sensing image, although this topic had been intensively investigated and many methods had been put forwards. All works f...