Hyperspectral/Multispectral Imaging and Sounding of the Environment (HISE)
Submission Deadline: 10 Mar 2026 12:00
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Hyperspectral/Multispectral Imaging and Sounding of the Environment (HISE)
Hyperspectral/Multispectral Imaging and Sounding of the Environment (HISE) focuses on hyperspectral and multispectral measurement and detection systems with enhanced imaging and sensing capabilities and innovative measurement platforms, such as unmanned aerial systems, autonomous vehicles, satellite constellations and industrial robots.
In addition to hyperspectral and multispectral sensors, HISE also welcomes studies that involve other modalities of remote sensing, such as lidar and synthetic aperture radar (SAR), that provide enhanced identification, discrimination, understanding and monitoring of processes and features for atmospheric, oceanographic and terrestrial applications, including rapid response to natural and anthropogenic disasters.
Presentations of innovations in hyperspectral and multispectral instrumentation, technology development, data analysis and applications for imaging and sounding of the environment are encouraged. Studies involving innovative synergistic use of multiple modalities of remote sensing and application of physics-based models and statistical approaches such as artificial intelligence and machine learning techniques to exploit content-rich data and extract biophysical information are of particular interest.
If you are looking to submit your papers for consideration by the HISE committee, please consider submitting to the following referenced topics in the full list of topic categories and identify HISE as your topical of choice:
1. New technologies and phenomena in sensing, image capture and displays
1.2. Sensor development
2. System architecture and co-design for sensing, imaging and displays
2.3. Remote sensing
3. Image and signal processing and computational techniques
3.1. Image processing for acquisition and display systems
3.2. Deep learning and artificial intelligence for image acquisition and display systems
3.4. Radiative transfer modeling
5. Industrial, security, agriphotonic and environmental applications
5.1. Industrial and agriphotonic process control and monitoring
5.10. Terrestrial, aquatic, cryospheric and atmospheric applications of remote sensing
Chairs
Sanna Kaasalainen
Finnish Geospatial Research Institute, Finland,
Co-Chair
Wesley Moses
US Naval Research Laboratory, United States,
Co-Chair
Shen-En Qian
Canadian Space Agency, Canada,
Co-Chair
Committee Members
- Sanna Kaasalainen, Finnish Geospatial Research Institute, Finland, Co-Chair
- Wesley Moses, US Naval Research Laboratory, United States, Co-Chair
- Shen-En Qian, Canadian Space Agency, Canada, Co-Chair
- Elhadi Adam, University of Witwatersrand, South Africa
- Emmett Ientilucci, Rochester Institute of Technology, United States
- Stefan Livens, VITO, Belgium
- Louis Moreau, ABB Inc, Canada
- Kim Pearce, Environment and Climate Change Canada, Canada
- Nicole Pinnel, DLR - Wessling, Germany
- Robert Sundberg, Spectral Sciences Incorporated, United States
- Caroline Turcotte, Defence Research and Development Canada, Canada
- Andrea Vander Woude, NOAA Great Lakes Environmental Res Lab, United States
