KEYWORDS: Image compression, Sensors, Image processing, Telecommunications, Field programmable gate arrays, Cameras, Detection and tracking algorithms, Data storage, Video compression, Video
ITT has developed and demonstrated a real-time airborne data management system that ingests, compresses, stores, and
streams imagery and video data from sensors based on users' needs. The data management system was designed to be
sensor agnostic, which was demonstrated when ITT quickly integrated several different cameras including an HD video
camera, an IR video camera, and large framing cameras. The data is compressed in real-time using ITT's high-speed
JPEG 2000 compression core and stored in the airborne unit. The data is then interactively served to users over downlink
communication based on the users' requests. This system's capability was demonstrated in several test flights where data
was collected from the sensors at 132 megapixels per second (1.5 gigabits per second), compressed, stored, and
interactively served as regions of interest to multiple users over a 48 megabit/second communication link. This data
management system is currently being incorporated into airborne systems for military and civil applications.
In this paper we present a JPEG2000-enabled ISR dissemination system that provides an airborne-based compression server and a ground-based screener client. This system makes possible direct dissemination of airborne collected imagery to users on the ground via existing portable communications. Utilizing the progressive nature of JPEG2000, the interactive capabilities of its associated JPIP streaming, and the on-the-fly mosaicing capability of the MIRAGE ground screener client application, ground-based users can interactively access large volumes of geo-referenced imagery from an airborne image collector. The system, called QUICKFIRE, is a recently developed prototype demonstrator. We present preliminary results from this effort.
As the number of MSI/HSI data producers increase and the exploitation of this imagery matures, more users will request MSI/HSI data and products derived from MSI/HSI data. This paper presents client-server architecture concepts for the storage, processing, and delivery of MSI/HSI data and derived products in client-server architecture. A key component of this concept is the JPEG 2000 compression standard. JPEG 2000 is the first compression standard that is capable of preserving radiometric accuracy when compressing MSI/HSI data. JPEG 2000 enables client-server delivery of large data sets in which a client may select spatial and spectral regions of interest at a desired resolution and quality to facilitate rapid viewing of data. Using these attributes of JPEG 2000, we present concepts that facilitate thin-client server-side processing as well as traditional thick-client processing of MSI/HSI data.
This paper presents the constructs for a transformational paradigm within a standards-based architectural framework, which enables extremely quick and accurate visualization of large imagery sets directly from airborne intelligence and surveillance collection assets. The architecture we present handles the dissemination and “on-demand” visualization of JPEG2000 encoded geospatial imagery while providing dramatic improvements in reconnaissance and surveillance operations where low-latency access and time-critical visualization of targets are of substantial importance. This innovative framework, known as the “advanced wavelet architecture” (AWA), has been developed using open standards and nonproprietary formats, within the Commercial and Government Systems Division of Eastman Kodak Company. Numerous software and hardware applications have been developed as a result of the AWA research and development activities.
Imagery Exploitation is an area of considerable importance for the Intelligence community. Collection capabilities continue to deliver larger and more accurate data across modalities while having significant impacts throughout the image chain. Additionally, multi- and hyper-spectral data sources will heavily burden processing, storage, exploitation, and dissemination architectures. This paper addresses three specific areas of concern: The need to exploit this large amount of imagery, in a timely manner, to support Intelligence Objectives The need to quickly and accurately integrate geospatial information with intelligence information Management and maintenance of the community's corporate history regarding critical targets and entities This paper presents the Target Exploitation Analysis and Management System (TEAMS), a shared analyst's softcopy exploitation environment that improves analysis and exploitation performance of multi-modal imagery in a collaborative, Work Group environment. TEAMS integrate Information Management technologies with Knowledge Management tools to capture and correlate the knowledge that exists within a group. Object-based data stores and a contextually driven ontology capture issues specific to the workgroup. This approach is successful because it focuses on specific exploitation tasks within a work-group environment, reducing workloads to the mission-applicable information while maintaining an interface to the entire intelligence community.
The integration and management of information from distributed and heterogeneous information producers and providers must be a key foundation of any developing imagery intelligence system. Historically, imagery providers acted as production agencies for imagery, imagery intelligence, and geospatial information. In the future, these imagery producers will be evolving to act more like e-business information brokers. The management of imagery and geospatial information-visible, spectral, infrared (IR), radar, elevation, or other feature and foundation data-is crucial from a quality and content perspective. By 2005, there will be significantly advanced collection systems and a myriad of storage devices. There will also be a number of automated and man-in-the-loop correlation, fusion, and exploitation capabilities. All of these new imagery collection and storage systems will result in a higher volume and greater variety of imagery being disseminated and archived in the future. This paper illustrates the importance-from a collection, storage, exploitation, and dissemination perspective-of the proper selection and implementation of standards-based compression technology for ground station and dissemination/archive networks. It specifically discusses the new compression capabilities featured in JPEG 2000 and how that commercially based technology can provide significant improvements to the overall imagery and geospatial enterprise both from an architectural perspective as well as from a user's prospective.
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