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A Spatial-Spectral Joint Attention Network for Change Detection in Multispectral Imagery
期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 14
作者:
Zhang, Wuxia
;
Zhang, Qinyu
;
Liu, Shuo
;
Pan, Xiaoying
;
Lu, Xiaoqiang
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/08/31
change detection
attention mechanism
spatial-spectral features
multispectral imagery
A Cloud and Cloud Shadow Detection Method Based on Fuzzy c-Means Algorithm
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2020, 卷号: 13, 页码: 1714-1727
作者:
Ping Bo
;
Su Fenzhen
;
Meng Yunshan
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2021/03/23
Cloud and cloud shadow detection
fuzzy c-means algorithm
multiple features
multispectral sensors
The spectral-spatial joint learning for change detection in multispectral imagery
期刊论文
Remote Sensing, 2019, 卷号: 11, 期号: 3
作者:
Zhang, Wuxia
;
Lu, Xiaoqiang
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2019/03/26
multispectral imagery
spectral-spatial representation
Siamese CNN
feature fusion
discrimination learning
change detection
Advanced Multi-Sensor Optical Remote Sensing for Urban Land Use and Land Cover Classification: Outcome of the 2018 IEEE GRSS Data Fusion Contest
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: 12, 期号: 6
作者:
Xu, Yonghao
;
Du, Bo
;
Zhang, Liangpei
;
Cerra, Daniele
;
Pato, Miguel
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2019/12/05
Convolutional neural networks (CNN)
deep learning
hyperspectral (HS) imaging (HSI)
image analysis and data fusion
multimodal
multiresolution
multisource
multispectral light detection and ranging (LiDAR)
An Improved Jitter Detection Method Based on Parallax Observation of Multispectral Sensors for Gaofen-1 02/03/04 Satellites
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 1
作者:
Zhu, Ying
;
Wang, Mi
;
Cheng, Yufeng
;
He, Luxiao
;
Xue, Lin
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2019/12/05
jitter detection
multispectral imagery
systematic error
time-varying error
Gaofen-1
Toward utilizing multitemporal multispectral airborne laser scanning, Sentinel-2, and mobile laser scanning in map updating
期刊论文
JOURNAL OF APPLIED REMOTE SENSING, 2019, 卷号: 13, 期号: 4
作者:
Matikainen, Leena
;
Pandzic, Milos
;
Li, Fashuai
;
Karila, Kirsi
;
Hyyppa, Juha
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2019/12/05
change detection
multitemporal
multispectral
lidar
satellite image
mobile mapping
Box-level segmentation supervised deep neural networks for accurate and real-time multispectral pedestrian detection
期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 卷号: Vol.150, 页码: 70-79
作者:
Yanpeng Cao
;
Dayan Guan
;
Yulun Wu
;
Jiangxin Yang
;
Yanlong Cao
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/17
Multispectral
data
Pedestrian
detection
Deep
neural
networks
Box-level
segmentation
Real-time
application
Pedestrian detection with unsupervised multispectral feature learning using deep neural networks
期刊论文
INFORMATION FUSION, 2019, 卷号: Vol.46, 页码: 206-217
作者:
Cao, Yanpeng
;
Guan, Dayan
;
Huang, Weilin
;
Yang, Jiangxin
;
Cao, Yanlong
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2019/12/17
Multispectral pedestrian detection
Deep neural networks
Auto-annotation
Semantic feature fusion
Unsupervised learning
A Mixed Property-Based Automatic Shadow Detection Approach for VHR Multispectral Remote Sensing Images
期刊论文
APPLIED SCIENCES-BASEL, 2018, 卷号: 8, 期号: 10, 页码: 28
作者:
Wen, Ming
;
Lan, Taiji
;
Li, Xiangzhi
;
Huang, Liang
;
Hu, Changhong
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2019/08/26
invariant color space
multispectral images
shadow detection
shadow omission
threshold
vegetation misclassification
very high-resolution
A Coarse-to-Fine Semi-Supervised Change Detection for Multispectral Images
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2018, 卷号: 56, 期号: 6, 页码: 3587-3599
作者:
Zhang, Wuxia
;
Lu, Xiaoqiang
;
Li, Xuelong
;
Lu, XQ (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China.
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  |  
浏览/下载:63/0
  |  
提交时间:2018/06/28
Change Detection
Keep It Simple And Straight-forward (Kiss) Metric Learning
Multiscale Feature
Multispectral Imagery
Semi-supervised Learning
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