中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
遥感与数字地球研究所 [5]
自动化研究所 [4]
地理科学与资源研究所 [1]
计算技术研究所 [1]
长春光学精密机械与物... [1]
采集方式
OAI收割 [12]
内容类型
期刊论文 [9]
会议论文 [3]
发表日期
2025 [1]
2023 [1]
2022 [1]
2021 [2]
2019 [1]
2016 [3]
更多
学科主题
Geology; M... [2]
Geochemist... [1]
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A wave-shaped CNN for marine-raft aquaculture-area extraction in SAR images
期刊论文
OAI收割
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2025, 卷号: 232, 页码: 110078
作者:
Guo, Yanjun
;
Du, Yunyan
;
Yan, Ming
;
Xie, Ting
;
Liu, Moyun
  |  
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2025/04/21
Remote sensing
Synthetic aperture radar (SAR) images
Marine-floating-raft aquaculture
Deep learning
Convolutional neural network (CNN)
MFAENet: A Multiscale Feature Adaptive Enhancement Network for SAR Image Despeckling
期刊论文
OAI收割
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2023, 卷号: 16, 页码: 10420-10433
作者:
Liu, Shuaiqi
;
Zhang, Luyao
;
Tian, Shikang
;
Hu, Qi
;
Li, Bing
  |  
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2024/02/22
Adaptive fusion
feature enhancement
multiscale feature
speckle suppression
synthetic aperture radar (SAR) images
Exploring Image Generation for UAV Change Detection
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2022, 卷号: 9, 期号: 6, 页码: 1061-1072
作者:
Xuan Li
;
Haibin Duan
;
Yonglin Tian
;
Fei-Yue Wang
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/05/30
Change detection
computer graphics
image translation
simulated images
synthetic images
unmanned aerial vehicles (UAVs)
3D-FUTURE: 3D Furniture Shape with TextURE
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2021, 卷号: 129, 期号: 12, 页码: 3313-3337
作者:
Fu, Huan
;
Jia, Rongfei
;
Gao, Lin
;
Gong, Mingming
;
Zhao, Binqiang
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2021/12/01
3D-FUTURE
Furniture shapes
Textures
Interior designs
Synthetic images
A Virtual-Real Interaction Approach to Object Instance Segmentation in Traffic Scenes
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 22, 期号: 2, 页码: 863-875
作者:
Zhang, Hui
;
Luo, Guiyang
;
Tian, Yonglin
;
Wang, Kunfeng
;
He, Haibo
  |  
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/03/29
Image segmentation
Annotations
Computational modeling
Automation
Object detection
Visualization
Instance segmentation
virtual-real interaction
synthetic images
distribution discrepancy
autonomous vehicles
ParallelEye-CS: A New Dataset of Synthetic Images for Testing the Visual Intelligence of Intelligent Vehicles
期刊论文
OAI收割
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 卷号: 68, 期号: 10, 页码: 9619-9631
作者:
Li, Xuan
;
Wang, Yutong
;
Yan, Lan
;
Wang, Kunfeng
;
Deng, Fang
  |  
收藏
  |  
浏览/下载:60/0
  |  
提交时间:2020/03/30
Testing
Intelligent vehicles
Task analysis
Object detection
Automation
Roads
Visual perception
Intelligent vehicles
visual intelligence
intelligence testing
object detection
virtual simulation
synthetic images
Comparison of two large earthquakes in China: The Ms 6.6 Yunnan Jinggu Earthquake and the Ms 6.5 Yunnan Ludian Earthquake in 2014
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION, 2016, 卷号: 16, 页码: 99-107
作者:
Jia, Hui-cong
;
Chen, Fang
;
Fan, Yi-da
;
Pan, Dong-hua
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2017/04/24
UNDERWATER BOTTOM TOPOGRAPHY
SYNTHETIC-APERTURE RADAR
TAIWAN SHOAL
IMAGES
BATHYMETRY
WAVES
MODEL
Top-of-Atmosphere Image Simulation in the 4.3-mu m Mid-infrared Absorption Bands
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2016, 卷号: 54, 期号: 1, 页码: 452-465
作者:
Liu, Yao
;
Zhang, Wenjuan
;
Zhang, Bing
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2017/04/24
SYNTHETIC-APERTURE RADAR
MESOSCALE EDDIES
GENERATION
PROPAGATION
EVOLUTION
IMAGES
SIMULATIONS
PYCNOCLINE
SHELF
OCEAN
Mapping a burned forest area from Landsat TM data by multiple methods
期刊论文
OAI收割
Geomatics, Natural Hazards and Risk, 2016, 卷号: 7, 期号: 1, 页码: 384-402
作者:
Chen, W.
;
Moriya, K.
;
Sakai, T.
;
Koyama, L.
;
Cao, C.X.
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2017/04/24
SYNTHETIC-APERTURE RADAR
C-BAND
MICROWAVE BACKSCATTERING
ERS-1 SATELLITE
CROSS-SECTION
2-SCALE MODEL
OCEAN SURFACE
SAR IMAGES
SCATTEROMETRY
FIELD
Partial occlusion detection of object boundary (EI CONFERENCE)
会议论文
OAI收割
2009 IEEE Intrumentation and Measurement Technology Conference, I2MTC 2009, May 5, 2009 - May 7, 2009, Singapore, Singapore
作者:
Zhang J.
;
Zhang K.
;
Zhang K.
;
Zhang K.
;
Zhang K.
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2013/03/25
Partial occlusion is a difficult problem in computer vision since whether the object is changed or occluded is ambiguous
especially when distinguishing it only from the object boundary. In this paper
we proposed a novel idea to solve this problem by taking shape matching as a morphing processing. A mass-spring model is constructed from the point set which is sampled from a template (or reference) object boundary by moving it to a target object which is deformed and/or occluded. From the morphing processing
sufficient information can be obtained and an accurate detection of occlusion is performed. By using of the proposed method
the application scope of occlusion detection is expanded while other method cannot be performed which need color
texture
or motion information. The experiments performed on synthetic and real world images proved the satisfactory performance of the proposed method. 2009 IEEE.