ISPRS WG III/2
Spectral and Thermal Data Processing and Analytics
Our Mission
The main goal of the working group on "Spectral and thermal data processing and analytics" is to stimulate and coordinate research in spectral and thermal data analytics, share among the community state-of-the-art research, highlight current and future R&D challenges, encourage publication of scientific papers, participation in ISRPS events, promote cooperation and coordination with related ISRPS WGs and international scientific organizations.
Working Group Officers | ||
Chair | ||
 | Konstantinos Karantzalos Remote Sensing Laboratory National Technical University of Athens Heroon Polytechniou 9, 15780, Athens GREECE +30 2107721673
| |
Co-Chair | ||
 | Anna Brook Spectroscopy and Remote Sensing Laboratory Center for Spatial Analysis Research (UHCSISR) Department of Geography and Environmental Studies University of Haifa Abba Khoushy Ave 199 Haifa, 3498838 ISRAEL +972 (0)544 947 076
| |
Co-Chair | ||
 | Jean-Louis Roujean CESBIO 18 Avenue Edouard Belin BPI 2801 31401 TOULOUSE CEDEX 9 FRANCE +33 5 61 55 85 46
| |
Secretary | ||
 | Ilkka Pölönen Spectral imaging laboratory Faculty of Information Technology Mattilanniemi 2 40100 Jyväskylä FINLAND +35 8400248140
| |
Terms of Reference
- Visible, Ultraviolet, NIR, SWIR and Thermal imaging spectroscopy from satellite, aerial, UAV, terrestrial and marine acquisition platforms.
- Processing and analysis of 1D signals, 2D images, 3D hyperspectral cubes and 4D spectral video datasets.
- Radiometric, atmospheric and geometric calibration/corrections of spectral and thermal data.
- Fusion and Harmonization of spectral/thermal data with other modalities (e.g., Lidar, SAR, Acoustic), a priori information and multitemporal data.
- Processing and interpretation of spectral/hyperspectral data from low-cost, miniaturized sensors from autonomous robots and other platforms.
- Detection, classification and tracking of moving objects/targets/phenomena/behavior in spectral/thermal timeseries and video sequences.
- Efficient spectral/hyperspectral data processing through parallel programming, graphic card implementation and FPGAs
- Efficient thermal/spectral/hyperspectral image classification and analysis for the consistent estimation of geo- and bio-physical parameters, mapping, vegetation analysis in agriculture, forestry, environmental remote sensing, safety and security, engineering applications
- Assess and demonstrate the potential of future or new spectral and thermal systems
WG III/2
