搜索结果: 1-6 共查到“测绘科学技术 Urban Road”相关记录6条 . 查询时间(0.074 秒)
URBAN ROAD DETECTION IN AIRBONE LASER SCANNING POINT CLOUD USING RANDOM FOREST ALGORITHM
ALS Random Forest classification road detection
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2016/7/27
The objective of this research is to detect points that describe a road surface in an unclassified point cloud of the airborne laser scanning (ALS). For this purpose we use the Random Forest learning ...
HOW TRAVEL DEMAND AFFECTS DETECTION OF NON-RECURRENT TRAFFIC CONGESTION ON URBAN ROAD NETWORKS
Non-recurrent congestion space-time clustering space-time scan statistics
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2016/7/8
Occurrence of non-recurrent traffic congestion hinders the economic activity of a city, as travellers could miss appointments or be late for work or important meetings. Similarly, for shippers, unexpe...
PAIRWISE-SVM FOR ON-BOARD URBAN ROAD LIDAR CLASSIFICATION
LiDAR on-board classifiaction SVM MRF
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2016/7/4
The common method of LiDAR classifications is Markov random fields (MRF). Based on construction of MRF energy function, spectral and directional features are extracted for on-board urban point clouds....
DATA FUSION OF MULTI-SOURCE REMOTE SENSING BASED ON LEVEL SET METHOD AND APPLICATION TO URBAN ROAD EXTRACTION
Urban Multisensor Fusion Algorithms Semi-automation Extraction
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2015/12/31
Using data fusion of multi-spectral and microwave radar images, a semiautomatic method is developed based on the level set method for application to urban road extraction. The fast marching method of ...
ADAPTIVE SNAKES FOR URBAN ROAD EXTRACTION
GIS Photogrammetry Urban Feature
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2015/6/1
or quickly populating GIS database, it is important to derive accurate and truly road information from imagery. In this paper, we
describe the problem of urban road extraction from digital imagery u...
URBAN ROAD NET EXTRACTION INTEGRATING INTERNAL EVALUATION MODELS
Road Extraction Urban Areas Quality Measures
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2015/3/24
This paper focuses on internal quality measures for automatic road extraction from aerial images taken over urban areas. The motivation
of this work is twofold: Firstly, any automatic system should p...