Seeking innovations in hyperspectral instrumentation and data analysis methods to study geophysical, ecological, and atmospheric phenomena, to achieve material identification for diverse applications, and to advance capabilities for anomaly- and signature-based detection.
The scope of HISE continues to expand as hyperspectral measurement and detection systems proliferate. On the very large scale, these provide unprecedented opportunities to monitor and understand our planetary system; on moderate scales, they can be used to observe human interactions with the ecosystem; and at smaller scales, they can provide vital information for material identification and industrial processes. Fusing hyperspectral observations with other sensing modalities shows great scientific potential and promises enhanced discrimination capabilities. This meeting will cover hyperspectral sensing over scales ranging from centimeters to kilometers and will present the latest advances in hyperspectral detection hardware, data processing, algorithm development, and applications.
Presentations on all relevant passive, active, imaging, and sounding hyperspectral and related remote sensing programs, technologies, missions, field campaigns, signal processing, applications, validation approaches, and basic research are welcome. The meeting covers both close and far range hyperspectral measurement techniques, including the use of hyperspectral sensing for material identification and industrial process control. Additionally, research is solicited on the use of current and future measurements for providing products useful for rapid response efforts to phenomena such as downed aircraft, volcanoes, floods, oil spills, changes in land cover, snow/ice cover, treaty violations, biomass burning, tropical storms, trace gas emissions, and heavy aerosol events. The use of machine learning for hyperspectral data processing is of particular interest.
Hyperspectral Imaging and Sounding of the Environment
The topic categories include, but are not limited to:
- Atmospheric measurements, modeling, and compensation for atmospheric effects
- Coastal and ocean remote sensing and modeling
- Phytoplankton functional group and species discrimination
- Thermal hyperspectral imaging
- Material identification for monitoring air and water quality
- Soil studies, including soil classification, soil moisture content, and trafficability
- Species discrimination and mapping of vegetation in forests and wetlands
- Precision agriculture
- Hyperspectral applications in the mining, oil, and gas industries
- Hyperspectral imaging for urban planning and development
- Weather prediction
- Urban and rural pollution monitoring
- Hyperspectral imaging for industrial quality analysis and process control
- New spectrometer design, development, and sensor characterization
- Planned and deployed operational systems
- Innovative signal and digital image processing techniques including image segmentation, pattern recognition, neural networks, and machine learning approaches
- Dimension reduction and information content analysis
- Fusion with active or passive sensors and visualization algorithms
- Snapshot/Video rate hyperspectral imaging
- Spectral inversion techniques such as deconvolution, derivatives, optimal estimation, and spectral fingerprinting
- Radiative transfer modeling
Committee Members
- Ka Lok Chan,
German Aerospace Center (DLR), Germany
, Program Chair
- Wesley Moses,
Naval Research Laboratory, United States
, Program Chair
- Emmett Ientilucci,
Rochester Institute of Technology
- Peter Pilewskie,
University of Colorado at Boulder, United States
- Saurabh Prasad,
U Houston
- Jacopo Taddeucci ,
Istituto Nazionale di Geofisica e Vulcan, Italy
- Ping Yang,
Texas A&M University, United States
- Michael Yetzbacher,
US Naval Research Laboratory, United States