Seeking innovations in hyperspectral instrumentation and data analysis methods, to study geophysical and atmospheric phenomena, and to advance capabilities for anomaly- and signature-based detection.
The scope of HISE continues to expand as hyperspectral measurement and detection systems proliferate. These provide unprecedented opportunities to monitor and understand our planetary system. Fusing hyperspectral observations with other sensing modalities shows great scientific potential and promises enhanced discrimination capabilities. Hyperspectral remote sensing over scales ranging from regional to global, and object/event-oriented to climatological are of interest.
All relevant passive, active, imaging, and sounding hyperspectral and related remote sensing programs, technologies, missions, field campaigns, signal processing, applications, validation approaches, basic research are welcome. Additionally, research is solicited that addresses the use of current and future measurements for providing products useful for rapid response efforts to phenomena such as downed aircraft, volcanoes, floods, changes in land cover, snow/ice cover, and treaty violations; also atmospheric events such as biomass burning, tropical storms, trace gases, and heavy aerosol events.
Atmospheric measurements, modeling, and compensation
Advanced detection, image segmentation and pattern recognition
New spectrometer design and sensor characterization
Planned and deployed operational systems
Multimodal fusion and visualization algorithms
Dimension reduction and information content analysis
Measurement of trace species in the atmosphere
Fusion with active or passive sensors
Thermal hyperspectral imaging
Snapshot/Video rate hyperspectral imaging
Inverse methods, optimal estimation, spectral fingerprinting
Remote hyperspectral mining and agricultural products
Material identification and quantification
Land and sea environmental applications
Atmospheric correction
Weather prediction
11月14日
2016
11月17日
2016
注册截止日期
2015年03月01日 美国
2014 高光谱成像和环境探测研讨会
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