IEEE/ISPRS Workshop. Looking from above: When Earth observation meets vision
12th of June 2015, Boston MA
in conjunction with the Computer Vision and Pattern Recognition (CVPR) 2015 Conference
JSTARS Special Issue Call for Papers: Submission Deadline: Sep 30, 2015
Aims and scope

Earth Observation (EO) is an ever-growing field of investigation where computer vision, machine learning, and signal/image processing meet. The general objective is to provide large-scale, homogeneous information about processes occurring at the surface of the Earth exploiting data collected by airborne and spaceborne sensors. These sensors provide rich information on materials and biophysical surface properties over a large part of the electromagnetic spectrum as well as varying spatial, temporal, and spectral resolutions. Earth Observation thus implies the need for multiple inference tasks, ranging from detection to registration, data mining, multisensor, multiresolution, multitemporal, and multimodality fusion, and regression, to name just a few. It comprises ample applications like location-based services, online mapping services, large-scale surveillance, 3D urban modelling, navigation systems, natural hazard forecast and response, climate change monitoring, virtual habitat modelling, etc.

With this workshop, we aim at fostering collaboration between the computer vision and Earth Observation communities to, on the one hand, boost automated interpretation of EO data, and, on the other hand, raise awareness inside the vision community for this highly challenging and quickly evolving field of research with a big impact on human society, economy, industry, and the planet.

The event is jointly organized by the Image Analysis and Data Fusion Technical Committee of the IEEE-GRSS and by the ISPRS Commission 3 "Photogrammetric Computer Vision and Image Analysis" and is sponsored by IEEE-GRSS.

Submissions are invited from all areas of computer vision and image analysis relevant for, or applied to, environmental remote sensing. Topics of interest include, but are not limited to:

  • Multisensor fusion
  • Superresolution in the spectral and spatial domain
  • 3D reconstruction from aerial images
  • Feature extraction
  • Semantic classification
  • Structured prediction
  • Multi-scale (multi resolution) processing
  • Multitemporal analysis
  • Domain adaptation and concept drift
  • Multimodal registration
  • Image compression
  • Scaling algorithms
  • Interactive photointerpretation, humans in the loop
  • Applications to urban areas, vegetation mapping, oceanography, virtual tourism

All manuscripts will be subject to a double-blind review process. Accepted EARTHVISION papers will be included in the USB proceedings of CVPR and submitted to IEEE for possible publication in IEEE Xplore. Publication in IEEE Xplore will be granted only if the paper meets IEEE publicaiton policies and procedures.

Important dates