Thematic Processing, Modeling and Analysis of Remotely Sensed Data

Terms of Reference

• Relationship between spectral, radiometric and temporal properties of objects and surfaces, their physical and chemical properties and their variations;
• Image classification and analysis methodologies;
• Analysis of characteristics of multi-spectral, hyperspectral, multi-sensor, microwave and multi-temporal 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 - Fundamental Physics and Modelling
• WG VII/2 - Information Extraction from SAR Data
• WG VII/3 - Information Extraction from Hyperspectral Data
• WG VII/4 - Advanced Classification Techniques
• WG VII/5 - Processing of Multi Temporal Data and Change Detection
• WG VII/6 - Remote Sensing Data Fusion
• WG VII/7 - Innovative Problem Solving Methodologies for Less Developed Countries

WG VII/1 - Fundamental Physics and Modelling

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, inversion, and neural networks
• Study spectrodirectional ('the combination of multiple view angles with imaginary spectrometers') data acquisition potential and subsequent retrieval methods.

WG VII/2 - Information Extraction from SAR Data

WG VII/2  Terms of Reference

• feature extraction from SAR imagery
• use of SAR data for long-term monitoring
• use of SAR in data fusion
• development of case studies for all the above
• education/outreach: how to teach SAR related topics?
• accessibility of data and software tools

WG VII/3 - Information Extraction from Hyperspectral Data

WG VII/3  Terms of Reference

• Develop inter-operability of hyperspectral systems
• Develop methodologies for upscaling of in-situ measurements and downscaling of remote sensing measurements
• Develop calibration / validation procedures for hyperspectral data
• Study empirical Vs. physical models
• Ensure close collaboration with WG VII/1

WG VII/4 - Advanced Classification Techniques

WG VII/4  Terms of Reference

• Image classification and analysis methodologies. New algorithms for the extraction of thematic information and the assessment of thematic quality. Look for synergism between classification approaches. Pixel wise classification, context analysis, texture analysis
• Advanced and practical methodologies of Computer Assisted Interpretation (CAI) and Analysis of remotely sensed data. This should include 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, thermal sensors.

WG VII/5 - Processing of Multi Temporal Data and Change Detection

WG VII/5  Terms of Reference

• Analysis of characteristics of multi temporal image data for extraction of attribute information
• Methodologies of computer assisted interpretation and analysis of multi temporal image data
• Time series analysis and modeling based on multi temporal image data
• Temporal pattern recognition and modeling methodologies
• Methodologies for global monitoring, modeling and prediction
• Algorithm and methodology development for tracking moving objects
• Data integration and change detection for map updating

WG VII/6 - Remote Sensing Data Fusion

WG VII/6  Terms of Reference

• Automatic registration of images with different sensor, different resolution, and different acquisition mode
• Concept study and methodology development of data fusion at feature and decision levels
• Multi-source data fusion and integration methodologies, especially optical and radar data fusion
• Application of data fusion to object recognition, classification and change detection, etc.

WG VII/7 - Innovative Problem Solving Methodologies for Less Developed Countries

WG VII/7  Terms of Reference

• Convert theoretical methodologies and models into practical operational ones suitable for Less Developed Countries
• Develop integrated methods for Remote Sensing and in-situ data collection for data-sparce regions
• Develop appropriate image processing methods using simple computer technology
• Develop appropriate methodologies for multi source, multi resolution (temporal, radiometrical) and spatial data fusion for new mapping and map updating in LDC
• Develop algorithms for improvement and calibration of airborne videography for geometrically less significant applications, for thematic map updating in LDC
• Assess the relevance of Remote Sensing methods developed by other Working Groups to Less Developed Countries
• Liaise closely with TCVI WG on Transfer and Technology, with other TC's on methodology development, and with regional ISPRS members such as SELPER, AARSE, EARSeL and AARS.