Scope

Automated extraction of objects from remotely sensed data is an important topic of research in Computer Vision, Photogrammetry, Remote Sensing, and Geoinformation Science. In order to discuss recent developments and future trends in research in automatic object extraction and their influence on sensors and processing techniques, the two well known ISPRS workshops "Photogrammetric Image Analysis" (PIA) and "High resolution earth imaging for geospatial information" (HRIGI, also known as the ISPRS-Hannover Workshop) will be held as a common event for the first time. The location of the event will be Munich, Germany.

While in the past PIA specialised on the automatic exploitation of the image content, the strongest side of HRIGI was the geometric processing of aerial and in particular of space imagery. Realising that both areas - geometry and semantics - can significantly support each other when considered together in photogrammetric image exploitation, the two events will be organised under a common roof held at Technische Universitaet Muenchen (TUM) in March 2015. At the same time they will keep their identity, as the meeting will be organised in parallel sessions with common plenaries and common proceedings.

The aim of the common event is to seek, exploit and deepen the synergies between geometry and semantics, and to give the two scientific communities the possibility to discuss with and to learn from each other. The joint event addresses experts from research, government, and private industry. It consists of high quality papers, and provides an international forum for discussion of leading research and technological developments as well as applications in the field.

Topics

• Small satellites and satellite constellations for mapping
• Exploitation of high resolution space images
• UAVs and other platforms
• High-resolution Synthetic Aperture Radar (SAR) from air and space
• Hyperspectral imaging
• Sensor and system calibration and integration
• Surface modeling and reconstruction
• 3d object extraction: buildings, roads, vegetation
• Learning and statistical methods for object extraction
• Sensor and data fusion including information from GIS, BIM, or CAD
• Image analysis for geospatial data update and change detection
• Global landcover and landuse mapping
• Rapid mapping for environmental applications and disaster management

• WG I/2: LiDAR, SAR and Optical Sensors for Airborne and Spaceborne Platforms
• WG I/4: Geometric and Radiometric Modeling of Optical Airborne and Spaceborne Sensors
• WG III/1: Orientation and Surface Reconstruction
• WG III/4: 3D Scene Analysis
• WG IV/1: Methods for the Update and Verification of Geospatial Databases
• WG VII/2: DEM Generation and Surface Deformation Monitoring from SAR Data
• ICWG III/VII: Pattern Analysis in Remote Sensing (PARS)