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武汉大学 [15]
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期刊论文 [13]
会议论文 [1]
学位论文 [1]
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2019 [3]
2017 [3]
2016 [1]
2015 [1]
2014 [3]
2011 [3]
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专题:武汉大学
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RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes from High-Resolution Remotely Sensed Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 4
作者:
Liu, Yahui
;
Yao, Jian
;
Lu, Xiaohu
;
Xia, Menghan
;
Wang, Xingbo
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2019/12/05
Benchmark data set
bilinear blending
centerline extraction
convolutional neural networks (CNNs)
edge detection
image segmentation
loss function
road network extraction
user interaction
Localization and Extraction of Road Poles in Urban Areas from Mobile Laser Scanning Data
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 4
作者:
Li, You
;
Wang, Weixi
;
Tang, Shengjun
;
Li, Dalin
;
Wang, Yankun
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2019/12/05
point cloud
mobile LiDAR
mobile laser scanning
road poles
pole-like object
road furniture
segmentation
clustering
object extraction
Localization and extraction of road poles in urban areas from mobile laser scanning data (Open Access)
期刊论文
Remote Sensing, 2019, 卷号: 11, 期号: 4
作者:
Li, You
;
Wang, Weixi
;
Tang, Shengjun
;
Li, Dalin
;
Wang, Yankun
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/05
An adaptive multifeature sparsity-based model for semiautomatic road extraction from high-resolution satellite images in Urban Areas
期刊论文
IEEE Geoscience and Remote Sensing Letters, 2017, 卷号: 14, 期号: 8
作者:
Lv, Zhen
;
Jia, Yonghong
;
Zhang, Qian
;
Chen, Yifu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
Automatic Extraction of Urban Road Network by Integrated Processing of Aerial Images and LIDAR Data.
学位论文
2017
作者:
KerbouciAhmed
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/05
urban road extraction
morphological operations
Image based-color
Correctness
Quality
An Adaptive Multifeature Sparsity-Based Model for Semiautomatic Road Extraction From High-Resolution Satellite Images in Urban Areas
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2017, 卷号: 14, 期号: 8
作者:
Lv, Zhen
;
Jia, Yonghong
;
Zhang, Qian
;
Chen, Yifu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
Adaptive weight
high-resolution (HR) satellite images
local sparse model
multifeature
road extraction
semiautomatic
Region-based urban road extraction from VHR satellite images using Binary Partition Tree
期刊论文
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2016, 卷号: 44
作者:
Li, Mengmeng
;
Stein, Alfred
;
Bijker, Wietske
;
Zhan, Qingming
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Binary Partition Tree
Fuzzy aggregation
Morphological profiles
Road extraction
Very high resolution images
Main Road Extraction from ZY-3 Grayscale Imagery Based on Directional Mathematical Morphology and VGI Prior Knowledge in Urban Areas
期刊论文
PLOS ONE, 2015, 卷号: 10, 期号: 9
作者:
Liu, Bo
;
Wu, Huayi
;
Wang, Yandong
;
Liu, Wenming
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/05
Spectral-Spatial Classification and Shape Features for Urban Road Centerline Extraction
期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2014, 卷号: 11, 期号: 4
作者:
Shi, Wenzhong
;
Miao, Zelang
;
Wang, Qunming
;
Zhang, Hua
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/05
High-resolution remotely sensed imagery
local Geary's C
main road extraction
path openings and closings
shape features
spectral-spatial classification
Intersection detection and recognition for autonomous urban driving using a virtual cylindrical scanner
期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2014, 卷号: 8, 期号: 3
作者:
Li, Qingquan
;
Chen, Long
;
Zhu, Quanwen
;
Li, Ming
;
Zhang, Qun
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/05
automated highways
data acquisition
feature extraction
image classification
optical scanners
support vector machines
shape recognition
autonomous urban driving
virtual cylindrical scanner
real-time approach
intersection detection
intersection recognition
unknown urban environment
point cloud data acquisition
three-dimensional laser scanner
road classification
T-shaped intersections
+-shaped intersections
feature-level representation
support vector machine classifier
feature extraction
real-world data sets
simulation environment
dynamic urban environment
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