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西北工业大学 国内
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Change detection in multitemporal synthetic aperture radar images using dual-channel convolutional neural network
Tao Liu,
Ying Li
, Ying Cao, Qiang Shen
计算机学院
Northwestern Polytechnical University Xian
Aberystwyth University
科研成果
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引用 (Scopus)
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探究 'Change detection in multitemporal synthetic aperture radar images using dual-channel convolutional neural network' 的科研主题。它们共同构成独一无二的指纹。
分类
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Engineering
Synthetic Aperture Radar Images
100%
Convolutional Neural Network
100%
Synthetic Aperture Radar
100%
Experimental Result
25%
Network Model
25%
State-of-the-Art Technique
25%
Captured Image
25%
Detection Algorithm
25%
Misclassification Rate
25%
Computer Science
Synthetic Aperture Radar Images
100%
Convolutional Neural Network
100%
Experimental Result
33%
Captured Image
33%
Detection Algorithm
33%
Detection Accuracy
33%
Deep Feature
33%
Misclassification Rate
33%
Earth and Planetary Sciences
Synthetic Aperture Radar
100%
Change Detection
100%
State of the Art
20%