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Efficient anomaly detection and discrimination for hyperspectral imagery
Hsuan Ren
, Qian Du, James Jensen
太空及遙測研究中心
資訊工程學系
太空科學與工程學系
研究成果
:
雜誌貢獻
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會議論文
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同行評審
8
引文 斯高帕斯（Scopus）
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Keyphrases
Hyperspectral
100%
Anomaly Detection
100%
Anomaly Discrimination
100%
Skewness
50%
Kurtosis
50%
Central Moments
50%
Effective Algorithm
25%
Higher-order Moments
25%
Low Computational Complexity
25%
Frequency Channel
25%
Detection Result
25%
Gaussian Distribution
25%
Huge Amounts of Data
25%
Radiance
25%
Scene Image
25%
RX Algorithm
25%
Second-order Statistics
25%
Higher-order Statistics
25%
Sensor Technique
25%
Remote Sensing Sensors
25%
AVIRIS
25%
Mathematics
Gaussian Distribution
100%
Order Statistics
100%
Central Moment
100%
Skewness
100%
Kurtosis
100%
Statistics
50%
Frequency Channel
50%
Engineering
Anomaly Detection
100%
Hyperspectral Imagery
100%
Gaussians
50%
Central Moment
50%
Experimental Result
25%
Computational Complexity
25%
Flatness
25%
Higher-Order Statistics
25%
Earth and Planetary Sciences
Skewness
100%
Kurtosis
100%
Flatness
50%
Normal Density Functions
50%
Remote Sensing
50%
Computer Science
Anomaly Detection
100%
Experimental Result
25%
Computational Complexity
25%
second order statistic
25%
Higher-Order Statistics
25%
Frequency Channel
25%
Detection Result
25%
Chemistry
Gaussian Distribution
100%