SpACE – Spectral Remote Sensing in the era of AI, Cloud and Edge Computing
Spectral remote sensing including hyperspectral, multispectral, thermal sensors onboard satellites, aerial, terrestrial and marine acquisition systems, as well as spectral data analytics is an active research topic in Remote Sensing and Computer Vision. This workshop will bring together experts working in cutting-edge spectral remote sensing systems to discuss recent developments in instrumentation, advanced analytics including artificial intelligence, cloud and edge computing methodologies, and future trends in automated information extraction from spectral data. Its fcus is on methodological research. SpACE will be part of the ISPRS Geospatial Week 2023, hosted by the Arab Academy for Science, Technology, and Maritime Transport, in parallel with several related geospatial workshops. The event will be held as a two-day single track workshop of oral presentations and poster sessions in the context of the ISPRS Geospatial Week.
CHAIRS
National Technical University of Athens, Greece (WG III/2)
German Aerospace Center, Germany (WG I/3)
Wuhan University,China (WG III/1)
Themes of event:
- Spaceborne, airborne, terrestrial, marine and mobile multispectral and hyperspectral sensors and data processing
- Thermal remote sensing
- Radiometric, atmospheric and geometric calibration/corrections of spectral and thermal data.
- Spectral unmixing, denoising, dimensionality reduction and compression of hyperspectral and multispectral data
- Processing and analysis of 1D signals, 2D images, 3D hyperspectral cubes and 4D spectral video datasets
- Fusion and harmonization of spectral/thermal data with other modalities (e.g., Lidar, SAR, Acoustic), a priori information, geospatial and multitemporal data
- AI methods for spectral data analysis and understanding
- Deep learning and explainability for spectral data analysis
- Cloud-based frameworks for spectral data analytics
- Edge-computing methods for efficient spectral data processing
- Analysis and applications based on multi-temporal and multi-sensor data
- Evaluation benchmarks for assessing method performance, robustness, explainability, scalability and generalization
Scientific Committee
- Konstantinos Karantzalos , WG III/2 Chair
- Daniele Cerra , WG I/3 Chair
- Xinlian Liang, WG II/1 Chair
- Anna Brook (Israel) , WG III/2
- Jean-Louis Roujean , WG III/2
- Ilkka Pölönen , WG III/2
- Mi Wang, WG I/3
- Jose Marcato Junior , WG I/3
- Maria Teresa Melis , WG II/1
- Weishu Gong , WG II/1
- Martin Mokroš , WG II/1
Supporting ISPRS Working Groups:
- WG III/2 Spectral and Thermal Data Processing and Analytics
- WG I/3 Multispectral, Hyperspectral and Thermal Sensors
- WG III/1 Remote Sensing Data Processing and Understanding
Special Issue dedicated to the workshop:
After the workshop, authors of selected papers will be invited to submit extended versions of their papers to an International Journal (tba). The papers being accepted after the peer-review process of the journal will appear in a Special Issue of that journal dedicated to this workshop.
