25-29 May 2015 lisbon congress center, portugal
Bio & Abstract

Silvester Fischer
Account Manager
Exelis Visual Information Solutions

Silvester Fischer received the Diploma degree in 2007 at the University of M√ľnster in Geography and Geoinformatics. In his professional career from 2008 to 2009 as a systems engineer he was managing international remote sensing projects for Definiens eCognition. Followed by a two year period at an IT consultancy company, he dealt with building up the business for SAP invoice management as a solution consultant. Since 2011 he has been responsible at Exelis as an account manager to develop its business and take care of existing ENVI customers within the Netherlands and DACH region.

From Orbit to the Tablet: A New Services Engine for Cloud-Based Deployment of Image Analysis Functionality

Geospatial software users are looking for tools to get answers from imagery anywhere, anytime. As organizations grow and more users employ image analysis in their decision making process, these organizations have a need to centrally deploy and manage applications, tools and data. Additionally, as users are located in a variety of environments, results need to be available on thin clients such as a web browser or native mobile device. Therefore we developed a new technology for cloud-based deployment of image analysis functionality that easily integrates into geospatial platforms. We call this new software platform ENVI Services Engine. It is comprised of a standard HTTP interface that allows users access to powerful imagery exploitation capabilities, as well as the necessary components to publish and deploy these consumable web services into any enterprise environment. The solution combines spectral image processing and image analysis technology to get detailed information from today's satellite and airborne sensors, including panchromatic, multispectral, hyperspectral, radar, thermal, and LiDAR. The underlying development language allows to extend or customize available COTS features and functionality to fit both image analysis requirements and specific project needs. By offering on-line, on-demand image analysis, geospatial users have access to information derived from remotely sensed data from any location at any time. Moreover, one of the largest benefits of deploying image analytics in the cloud is the ability to run complex, resource-intensive analysis on extremely large datasets from thin or mobile clients. By having both the data and analysis components on the web, lightweight applications are sufficient to call the services, making the workflow more efficient and moving image exploitation closer to the end user.