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Frequency Spectrum Features Modeling for Real-Time Tiny Object Detection in Remote Sensing Image
Zhaoyi Luo,
Yupei Wang
*
,
Liang Chen
, Wenying Yang
*
此作品的通讯作者
信息与电子学院
Beijing Institute of Technology
National Key Laboratory of Science and Technology on Space-Born Intelligent Information Processing
科研成果
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探究 'Frequency Spectrum Features Modeling for Real-Time Tiny Object Detection in Remote Sensing Image' 的科研主题。它们共同构成独一无二的指纹。
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Computer Science
Remote Sensing Image
100%
Object Detection
100%
Frequency Spectrum
100%
Frequency Domain
60%
Experimental Result
40%
Attention (Machine Learning)
20%
Detection Performance
20%
New-State
20%
Detection Method
20%
Spatial Resolution
20%
Deep Feature
20%
Background Noise
20%
Feature Extraction Network
20%
Complex Background
20%
Spatial Domain
20%
Frequency Information
20%
Learned Feature
20%
Backbone Network
20%
Spatial Detail
20%
Domain Feature
20%
Discrete Cosine Transform
20%
Engineering
Frequency Domain
100%
Frequency Spectrum
100%
Experimental Result
66%
State-of-the-Art Method
33%
Detection Performance
33%
Spatial Resolution
33%
Spatial Feature
33%
Feature Extraction Network
33%
Spatial Domain
33%
Spatial Detail
33%
Domain Feature
33%
Earth and Planetary Sciences
Real Time
100%
Remote Sensing
100%
State of the Art
25%
Spatial Resolution
25%
Pattern Recognition
25%
Detection Method
25%
Background Noise
25%
Discrete Cosine Transform
25%
Neuroscience
Adverse Effect
100%