Publications

This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

Search for Publication


Year(s) from:  to 
Author:
Keywords (separated by spaces):

Human Centered Concepts for Exploration and Understanding of Earth Observation Images

Mihai Datcu and Klaus Seidel
IEEE Transaction on Geoscience and Remote Sensing
Vol. 43, No. 3, pp. 601--609, March 2005

Abstract

The progress in information retrieval, computer vision and image analysis makes it possible to establish very complete bases of algorithms and operators. A specialist in remote sensing or image processing now has the tools that allow him, at least in theory, to configure applications solving complex problems of image understanding. However, in reality, Earth Observation (EO) data analysis is still performed in a very laborious way at the end of repeated cycles of trial and error. To overcome this, we proposed a novel advanced remote sensing information processing system Knowledge-driven Information Mining (KIM). KIM is based on Human Centered Concepts (HCC), which implements new features and functions allowing improved feature extraction, search on a semantic level, the availability of collected knowledge, interactive knowledge discovery and new visual user interfaces. In this article we assess the HCC methodology for solving several difficult tasks in EO image interpretation, using a broad variety of sensor data, from meter resolution SAR and optical images to hyperspectral data.


Download in pdf format
@Article{eth_biwi_00337,
  author = {Mihai Datcu and Klaus Seidel},
  title = {Human Centered Concepts for Exploration and Understanding of Earth Observation Images},
  journal = {IEEE Transaction on Geoscience and Remote Sensing},
  year = {2005},
  month = {March},
  pages = {601--609},
  volume = {43},
  number = {3},
  keywords = {Domain ontology, earth observation images,human-centered concepts, information mining}
}