Thematic Processing, Modeling and Analysis of Remotely Sensed Data
President | |
![Filiz Sunar, President](./images/sunar.jpg) | Filiz Sunar
|
Vice-President | |
![Malcolm Taberner, Vice-President](./images/taberner.jpg) | Malcolm Taberner
|
Secretary | |
![Ayda Akkartal Aktaş, Secretary](./images/aktas.png) | Ayda Akkartal Aktaş
|
Terms of Reference
- Relationship between spectral, radiometric and temporal properties of objects and surfaces, their physical and chemical properties and their variabilities;
- Image classification and analysis methodologies;
- Analysis of characteristics of multi-spectral, hyperspectral, multi-sensor, microwave and multitemporal image data for extraction of attribute information;
- Methodologies of computer-assisted interpretation and analysis of remotely sensed data;
- Validation of data and information using laboratory and in-situ methodologies
- Improving atmospheric modeling for radiometric correction;
- Multi-source data fusion and integration techniques;
- Modeling of satellite data derived parameters
- Global databases and determination of indicators of change for global modeling, monitoring and sustainable development
- Integration of remote sensing and GIS techniques;
- Aerosol and particulate detection and identification.
WORKING GROUPS of ISPRS COMMISSION VII
WG VII/1 - Physical Modelling and Signatures in Remote Sensing
Chair
Mitsunori Yoshimura
WG VII/1 Terms of Reference
- Study the relationship of spectral, directional, temporal and polarimetric properties of objects, as well as their physical and chemical properties and variations
- Research on advanced quantitative, physical based retrieval of biophysical and biochemical parameters
- Research of methods based on full spectral signatures using assimilation and inversion
- Study spectrodirectional ('the combination of multiple view angles with imaginary spectrometers') data acquisition potential and subsequent retrieval methods
WG VII/2 - DEM Generation and Surface Deformation Monitoring from SAR Data
Co-Chair
Michele Crosetto
WG VII/2 Terms of Reference
- Generation and accuracy assessment of DEM from SAR imagery
- Object extraction from InSAR data
- Differential SAR Interferometry and Persistent Scatterer Interferometry
- Ground based SAR Interferometry
WG VII/3 - Information Extraction from Hyperspectral Data
Co-Chair
Sabine Chabrillat
WG VII/3 Terms of Reference
- Optical, NIR, SWIR and thermal imaging spectroscopy for the retrieval of geo- and bio-physical parameters
- Ground based validation and radiometric calibration of hyperspectral data
- Atmospheric parameter retrieval and atmospheric corrections
- Operationalisation and standardization of (pre-)processing and methodological approaches
- Preparation for upcoming satellite missions: Simulation tools, multiscale analyses, predicted accuracies of thematic products
- Data and sensor fusion for improved parameter retrieval: combination with other remote sensing data (lidar, SAR, multi-angular, thermal) and a priori information
WG VII/4 - Methods for Image Classification
Co-Chair
Ahmed Shaker Abdelrahman
WG VII/4 Terms of Reference
- Image classification techniques and new algorithms for the extraction of thematic information including pixel-based classification, object-based classification, and artificial intelligent based classification, and synergism between classification approaches
- Image analysis methodologies for thematic information extraction including context analysis, texture analysis, image segmentation, and other analysis
- Advanced and practical methodologies of Computer Assisted Interpretation (CAI) and analysis of remotely sensed data, including expert systems and knowledge based tools to help the human interpretation of images
- Enhanced methodologies for thematic data extraction using emerging sensor data sources, multiple view sensors and thermal sensors
- New methodologies for classification quality assessment
WG VII/5 - Methods for Change Detection and Process Modelling
Secretary
Sebastian Brocks
WG VII/5 Terms of Reference
- Analysis of the characteristics of multitemporal data for extraction of attribute information
- Methodologies of computer assisted interpretation and analysis of multitemporal data
- Temporal pattern recognition and time series analysis and Modelling
- Methodologies for global monitoring, Modeling and prediction
- Methodologies for extracting essential climate variables from long-term satellite observations
- Algorithms and methods for monitoring and tracking changing objects
- Data integration and change detection for updating
WG VII/6 - Remote Sensing Data Fusion
WG VII/6 Terms of Reference
- Automatic registration, error assessment, or other geometric aspects of fusion with images from different spatial, spectral, and temporal resolutions, or acquisition modes
- Pixel-, feature- and decision-level fusion algorithms and methodologies
- Integration of images and products from satellite, airborne, and terrestrial sensor systems, as well as in-situ measurements
- Data fusion applications in the fields of mapping and monitoring natural resources, natural hazards, and environmental security
- High performance computing techniques in remote sensing data fusion
WG VII/7 - Synergy in Radar and LiDAR
Co-Chair
Batuha Osmanoğlu
Secretary
Füsun Balık Şanlı
WG VII/7 Terms of Reference
- Synergetic use of lidar and radar for retrieval of geophysical parameters
- Experiments using both radar and lidar
- Multi-temporal radar and lidar remote sensing
- Terrestrial measurements for validation and calibration
- Upscaling and error processing in lidar and radar measurements
- Scaling in radar and lidar remote sensing
- Physical radar and lidar backscatter models