IDELIX Software and RSI (Research Systems, Inc.), a wholly owned subsidiary of ITT Industries, have announced that the Special Projects Office of the National Geospatial-Intelligence Agency (NGA) Enterprise Directorate has funded the integration of Pliable Display Technology (PDT) by IDELIX into the client software applications of RSI’s Image Access Solutions.
PDT provides enhanced contextual reference and intuitive understanding of multiple layers of geographically related information. Teaming PDT’s unique capability with IAS demonstrates the ability to exploit these powerful combinations of information while significantly reducing communications bandwidth consumption. Through this effort, an entirely new group of customers can receive imagery and imagery derived products in a timely and tailored form across a variety of computing platforms.
RSI’s IAS is comprised of three powerful components, an imagery server/converter application, a PC Viewer and a PDA Viewer, that optimize the wavelet compression and transmission capabilities of the JPEG 2000 standard. IAS is designed to provide significant improvements in the dissemination of new and legacy geospatial information to a broad range users with communications-constrained architectures. The IAS Viewer and IAS PDA Viewer are client software applications enabling workstation-based and handheld users to receive and visualize streaming JPEG 2000 compressed images. IAS represents transformational change to “content-based” delivery and visualization, rather than traditional “file-based” approaches.
PDT by IDELIX is a virtual lens technology that enhances current user interfaces by providing users with a more intuitive and efficient means of visualizing and interacting with imagery and geospatial information. PDT is a complimentary technology to JPEG 2000 that lessens the bandwidth burden when the client is remote from the server. The IAS software can quickly retrieve a low-resolution version of the image from the JPEG 2000 file on the server. A PDT lens can then be positioned to identify the part of that image that the analyst needs to view in greater detail without losing image context. Once identified, only the higher resolution detail of the area defined by the boundaries of the PDT lens will be decompressed from the JPEG 2000 file; not the entire image. The result is reduced bandwidth requirement, more efficient navigation, and controlled accessibility to relevant information. The integrated technologies will also provide significantly reduced pixel-to-eye times, increasing the productivity of imagery and geospatial analysts.