GUAFF
发表于 2025-3-21 19:38:59
书目名称Real-Time Recursive Hyperspectral Sample and Band Processing影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0822284<br><br> <br><br>书目名称Real-Time Recursive Hyperspectral Sample and Band Processing读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0822284<br><br> <br><br>
ADJ
发表于 2025-3-21 22:06:01
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清洗
发表于 2025-3-22 04:02:03
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BAN
发表于 2025-3-22 06:19:50
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Commonplace
发表于 2025-3-22 10:29:35
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信任
发表于 2025-3-22 14:56:25
Target-Specified Virtual Dimensionality for Hyperspectral Imagerywer Academic/Plenum Publishers, New York, 2003) and later written about with details in Chang and Du (IEEE Transactions on Geoscience and Remote Sensing 42:608–619, 2004). It was originally developed for the purpose of finding an appropriate number of signatures required by linear spectral mixture a
磨坊
发表于 2025-3-22 19:58:19
Real-Time Recursive Hyperspectral Sample Processing for Active Target Detection: Constrained Energy 016) hyperspectral target detection can be generally performed in two completely opposite modes, active hyperspectral target detection and passive hyperspectral target detection. Active hyperspectral target detection requires specific prior knowledge that can be used to detect targets of interest as
射手座
发表于 2025-3-22 21:16:35
Real-Time Recursive Hyperspectral Sample Processing for Passive Target Detection: Anomaly Detectioneloped for its real-time and causal implementation. Rather than CEM, this chapter focuses on passive hyperspectral target detection and investigates a commonly used passive target detection technique, anomaly detection (AD), especially for real-time and causal processing capabilities that are develo
Misgiving
发表于 2025-3-23 03:34:34
Recursive Hyperspectral Sample Processing of Automatic Target Generation Processsed in a wide range of applications in hyperspectral image analysis to find unknown targets and endmembers. Since it is a pixel-based technique, it can be very easily implemented in real time. In addition, because it is also unsupervised, it can be used to find unknown targets automatically without
序曲
发表于 2025-3-23 09:25:36
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