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19-20 settembre Munich (Germany) PIA19 - Photogrammetric Image Analysis 2019

We are happy to announce the upcoming event PIA19 - Photogrammetric Image Analysis 2019 which will be held in conjunction with MRSS19 - Munich Remote Sensing Symposium 2019 on September 18th-20th, 2019 in Munich, Germany.

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 ISPRS conferences "Photogrammetric Image Analysis" (PIA) and the "Munich Remote Sensing Symposium" (MRSS) will be held as a common event for the first time. 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. The location of the event will be Munich, Germany.

Topics

  • Data acquisition by mobile mapping (RGB, TIR, LiDAR, RADAR)
  • Sensor and system calibration
  • Photogrammetric point cloud generation 
  • Point clouds from TLS, MLS, and ALS, full waveform analysis
  • Point cloud processing and co-registration
  • Labeling and semantic segmentation of point clouds
  • Surface reconstruction and classification
  • 3D object reconstruction from terrestrial, airborne or satellite data
  • Object detection and tracking
  • Scene analysis for autonomous driving and driver assistance
  • Indoor and outdoor navigation and mapping, SLAM
  • Change detection on point and object level
  • Sensor and data fusion including information from GIS, BIM, or CAD
  • Generation and texturing of buildings and 3D city models
  • Machine learning and statistical methods for image and point cloud analysis
  • Deep learning, CNNs, and GANs 
  • Benchmark data sets for machine learning models
  • Photogrammetry in construction, construction cite monitoring
  • Close range photogrammetry, metrology, and industrial applications
  • Extraction of vegetation and single tree detection from point clouds
  • Active and passive infrared thermography

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