COSPAR 2019

IAI’s Image analytics tools for Space imagery

Tal Feingersh
R&D, IAI, Israel

In recent years IAI concentrated R&D efforts to automate and facilitate some of the main the image-to-information processing chains for their customers. The result if a set of pioneering image analytics tools for remote sensing space missions.

This presentation will scan through two of them, Eoview© for spectral analytics and BetterView© for EO/SAR fusion analytics.

EOview is an automated interpretation tool designed for non-experts, which facilitates remote-sensing data-to-Information production. It specializes in Multispectral (MS) and Hyperspectral (HS) Electro-Optical (EO) images, and provides fused information layers (vector & raster maps) from Panchromatic, MS and HS images. It runs cutting-edge processing algorithms for automated radiometric, atmospheric & geomteric correction, automated interpretation and production into added-value information products suitable as up-to-date spatial inputs for Geographic Information Systems (GIS).

EOview supports multiple commerical spaceborne sensors, and allows flexible addition of new emerging ones. It is optimized for human visual interpretation, based on surface properties, target materials and detection of change between images. EOview supports insertion of new algorithms via a dedicated friendly user interface.

BetterView is an integration tool for Electro-Optical (EO) and Synthetic-Aperture Radar (SAR) images, that provides fused information layers. It runs cutting-edge image processing algorithms for automated geomteric matching and fusion of such images, into added-value information products.

Fusion in BetterView is optimized for human visual interpretation, based on surface properties, objects and infrastructures in the images. It works in an adaptive manner, fitting its processes to input image statistics.

BetterView products are synergetic and value-added in the sense that the combine the best of both worlds: SAR’s day-and-night observation capability in all weather conditions, and EO’s color and spectral information, preserving its intuitive visual quality.

Tal Feingersh
Tal Feingersh








Powered by Eventact EMS