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北京航空航天大学 [4]
西安光学精密机械研究... [4]
湖南大学 [3]
武汉大学 [2]
地理科学与资源研究所 [1]
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期刊论文 [14]
发表日期
2019 [14]
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Measuring River Wetted Width From Remotely Sensed Imagery at the Subpixel Scale With a Deep Convolutional Neural Network
期刊论文
WATER RESOURCES RESEARCH, 2019, 卷号: 55, 期号: 7, 页码: 5631-5649
作者:
Ling, Feng
;
Boyd, Doreen
;
Ge, Yong
;
Foody, Giles M.
;
Li, Xiaodong
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  |  
浏览/下载:14/0
  |  
提交时间:2020/03/23
一种稀疏约束的图正则化非负矩阵光谱解混方法
期刊论文
光谱学与光谱分析, 2019, 卷号: 39, 期号: 4, 页码: 1118-1127
作者:
甘玉泉
;
刘伟华
;
冯向朋
;
于涛
;
胡炳樑
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  |  
浏览/下载:68/0
  |  
提交时间:2019/05/27
高光谱图像
图正则化
稀疏约束
非负矩阵分解
光谱解混
Endmember extraction from hyperspectral imagery based on QR factorisation using givens rotations
期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 2, 页码: 332-343
作者:
Gan, Yuquan
;
Hu, Bingliang
;
Liu, Weihua
;
Wang, Shuang
;
Zhang, Geng
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  |  
浏览/下载:67/0
  |  
提交时间:2019/03/14
geophysical image processing
feature extraction
hyperspectral imaging
spectral analysis
hyperspectral imagery
QR factorisation
givens rotations
spectral unmixing
material spectral signatures
hyperspectral endmember extraction algorithm
popular endmember extraction methods
EEGR
vertex component analysis
VCA
maximum volume by householder transformation
MVHT
hardware features
Phase Functions of Typical Lunar Surface Minerals Derived for the Hapke Model and Implications for Visible to Near-Infrared Spectral Unmixing
期刊论文
JOURNAL OF GEOPHYSICAL RESEARCH-PLANETS, 2019, 卷号: 124, 期号: 1, 页码: 31-60
作者:
Yang, Yazhou
;
Li, Shuai
;
Milliken, Ralph E.
;
Zhang, Hao
;
Robertson, Kevin
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  |  
浏览/下载:53/0
  |  
提交时间:2019/03/14
spectrophotometric
phase function
ilmenite
wavelength dependent
lunar
Spectralon
GETNET: A General End-to-End 2-D CNN Framework for Hyperspectral Image Change Detection
期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2019, 卷号: 57, 期号: 1, 页码: 3-13
作者:
Wang, Qi
;
Yuan, Zhenghang
;
Du, Qian
;
Li, Xuelong
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  |  
浏览/下载:84/0
  |  
提交时间:2019/03/14
2-D convolutional neural network (CNN)
change detection (CD)
deep learning
hyperspectral image (HSI)
mixed-affinity matrix
spectral unmixing
Joint Local Block Grouping with Noise-Adjusted Principal Component Analysis for Hyperspectral Remote-Sensing Imagery Sparse Unmixing
期刊论文
REMOTE SENSING, 2019, 卷号: 11, 期号: 10
作者:
Feng, Ruyi
;
Wang, Lizhe
;
Zhong, Yanfei
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/05
spectral unmixing
sparse representation
local blocks
noise-adjusted principal analysis
hyperspectral remote sensing imagery
Contemporary Liquid Brine Exploration on Mars: From Spectral Unmixing to Subpixel Mapping
期刊论文
EARTH AND SPACE SCIENCE, 2019, 卷号: 6, 期号: 3
作者:
Zhong, Y.
;
He, D.
;
Luo, B.
;
Zhang, L.
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  |  
浏览/下载:10/0
  |  
提交时间:2019/12/05
Mars aqueous environment mapping
Joint Endmember extraction-Spectral unmixing-Sub-pixel mapping processing pipeline
Recurring slope lineae (RSL)
Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples
期刊论文
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019, 卷号: Vol.12 No.4, 页码: 1265-1278
作者:
Shuyuan Xu
;
Jun Li
;
Mahdi Khodadadzadeh
;
Andrea Marinoni
;
Paolo Gamba
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/13
Hyperspectral imaging
Training
Earth
Logistics
Feature extraction
Hyperspectral image classification
mixed pixels
mutinomial logistic regression (MLR)
spectral unmixing
subspace learning
Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: Vol.12 No.4, 页码: 1265-1278
作者:
Xu, SY
;
Li, J
;
Khodadadzadeh, M
;
Marinoni, A
;
Gamba, P
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/17
Hyperspectral image classification
mixed pixels
mutinomial logistic regression (MLR)
spectral unmixing
subspace learning
Abundance-Indicated Subspace for Hyperspectral Classification With Limited Training Samples
期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 卷号: Vol.12 No.4, 页码: 1265-1278
作者:
Xu, SY
;
Li, J
;
Khodadadzadeh, M
;
Marinoni, A
;
Gamba, P
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/12/17
Hyperspectral image classification
mixed pixels
mutinomial logistic regression (MLR)
spectral unmixing
subspace learning
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