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厦门大学 [12]
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清华大学 [2]
北京大学 [2]
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期刊论文 [23]
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A nondestructive automatic defect detection method with pixelwise segmentation
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 242, 页码: 12
作者:
Yang, Lei
;
Fan, Junfeng
;
Huo, Benyan
;
Li, En
;
Liu, Yanhong
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2022/06/10
Defect detection
Deep architecture
Image segmentation
Attention fusion
Residual dense connection convolution
network
An Automatic Deep Segmentation Network for Pixel-Level Welding Defect Detection
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10
作者:
Yang, Lei
;
Song, Shouan
;
Fan, Junfeng
;
Huo, Benyan
;
Li, En
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/06/06
Welding
Feature extraction
Image segmentation
Inspection
X-ray imaging
Manufacturing
Task analysis
Attention model
convolutional long short-term memory (ConvLSTM)
defect detection
feature fusion
hybrid loss
image segmentation
Fusion of High- and Medium-Resolution Optical Remote Sensing Imagery and GlobeLand30 Products for the Automated Detection of Intra-Urban Surface Water
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 24, 页码: 21
作者:
Li, Zhi
;
Yang, Xiaomei
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2021/03/15
urban surface water area
extended morphological profiles
adaptive threshold segmentation
decision-level fusion
GaoFen-1 satellite
Landsat-OLI 8
GlobeLand30 products
three-case study in China
Mapping urban dynamics (1992-2018) in Southeast Asia using consistent nighttime light data from DMSP and VIIRS
期刊论文
REMOTE SENSING OF ENVIRONMENT, 2020, 卷号: 248, 页码: 16
作者:
Zhao, Min
;
Zhou, Yuyu
;
Li, Xuecao
;
Cheng, Weiming
;
Zhou, Chenghu
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/16
Urban extent
Urban cluster
Urban dynamic
Nighttime light
Southeast Asia
Detecting Forest Disturbance and Recovery in Primorsky Krai, Russia, Using Annual Landsat Time Series and Multi-Source Land Cover Products
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 1, 页码: 21
作者:
Hu, Yang
;
Hu, Yunfeng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/05/19
temporal segmentation
change detection
landsat
time series
forest disturbance
forest recovery
Inconsistency distribution patterns of different remote sensing land-cover data from the perspective of ecological zoning
期刊论文
OPEN GEOSCIENCES, 2020, 卷号: 12, 期号: 1, 页码: 324-341
作者:
Sui, Lichun
;
Kang, Junmei
;
Yang, Xiaomei
;
Wang, Zhihua
;
Wang, Jun
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2021/03/18
remote sensing
land-cover data
terrestrial ecoregions
spatial consistency
A Point-Based Fully Convolutional Neural Network for Airborne LiDAR Ground Point Filtering in Forested Environments
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 3958-3974
作者:
Jin, Shichao
;
Sun, Yanjun
;
Zhao, Xiaoqian
;
Hu, Tianyu
;
Guo, Qinghua
收藏
  |  
浏览/下载:83/0
  |  
提交时间:2022/03/01
Digital terrain model (DTM)
deep learning
fully convolutional neural network (FCN)
ground filtering
light detection and ranging (LiDAR)
Using Multi-Sensor Satellite Images and Auxiliary Data in Updating and Assessing the Accuracies of Urban Land Products in Different Landscape Patterns
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 22, 页码: 19
作者:
Yang, Fengshuo
;
Wang, Zhihua
;
Yang, Xiaomei
;
Liu, Yueming
;
Liu, Bin
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/05/19
urban land product updating
accuracy assessment
GlobeLand30
Global Urban Footprint
Global Human Settlement Layer
Landsat Operational Land Imager
Phased Array type L-band Synthetic Aperture Radar
Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks
期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 9, 页码: 15
作者:
Tao Xian
;
Zhang Dapeng
;
Ma Wenzhi
;
Liu Xilong
;
Xu De
收藏
  |  
浏览/下载:234/0
  |  
提交时间:2018/10/02
metallic surface
autoencoder
convolutional neural network
defect detection
Segmentation by domestic visitor motivation: Changbai Mountain Biosphere Reserve, China
期刊论文
JOURNAL OF MOUNTAIN SCIENCE, 2018, 卷号: 15, 期号: 8, 页码: 1711-1727
作者:
Tai Zhi-juan
;
Gu Xiao-ping
;
Lewis, Bernard J.
;
Niu Li-jun
;
Yu Da-pao
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2018/12/04
Tourism Motivation
Visitor Segmentation
Ecotourism
Changbai Mountain
Biosphere Reserve
Principal Components Analysis
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