---------- NIMA ----------

6 Phase I Selections from the 00.1 Solicitation

(In Topic Number Order)
EARTHDATA INTERNATIONAL OF MARYLAND
45 West Watkins Mill Road
Gaithersburg, MD 20878
Phone:
PI:
Topic#:
(716) 334-1423
Charles Mondello
NIMA 00-001
Title:Evaluating the Ability of Commercial Sensors to Satisfy Tactical Level, Geospatial Data Requirements in the Littoral Zone
Abstract:In evaluating the ability of commercial sensors to satisfy tactical-level geospatial data requirements in the littoral zone, this response proposes to develop an empirical assessment of several emerging sensor systems and associated image-processing tools to characterize their ability to meet the U.S. Navy (USN) and U.S. Marine Corps (USMC) littoral warfare program data requirements. The systems to be evaluated include: GeoSAR X/P Band IFSAR Topographic and bathymetric LIDAR Digital cameras, including color, panchromatic, multispectral, and thermal Passive microwave radiometer Study results will be presented in a three-dimensional trade space of sensors, applications, and littoral zone characteristics. The ability to characterize the littoral zone through new remote-sensing tools will immediately benefit the military planner, or theater team, by providing better diagnoses of target regions. This study also will present a matrix of systems that will yield the optimum sensor suite for regional characterization. Commercial applications of these technologies will reach a diverse sector, from coastal and environmental site monitoring, to agriculture (lowlands, drainage), to forestry and forest characterization.

SPECTRAL SCIENCES, INC.
99 South Bedford Street, Suite 7
Burlington, MA 01803
Phone:
PI:
Topic#:
(781) 273-4770
Alexander Berk
NIMA 00-001
Title:A 3D Hyperspectral Imagery Simulation Test Bed for the Littoral Zone
Abstract:Remote sensing of the ocean-land interface, the littoral zone, is a valuable source of information supporting military and commercial applications, such as Littoral Warfare Data (LWD) for amphibious assaults and fish habitat monitoring in coastal waters. The quality of the retrieved information depends critically on the accuracy of the atmospheric correction and the surface/material identification and feature/object extraction algorithms. This proposal addresses the need for an accurate, robust, and efficient means for algorithm development and validation for littoral zone applications. We propose a high fidelity hyperspectral image simulation test bed for VIS-NIR (400-2500nm) sensors tailored to the littoral zone, dubbed SHALLOWS (Synthetic Hypercubes for Amphibious Littoral Landings with Objects under Water Simulation). The Phase I objectives include: (1) extending a 3D Monte Carlo land surface simulation model into the littoral zone, (2) validating against 1D models, (3) a feasibility demonstration simulation for a littoral zone scenario including submerged objects, and (4) developing a littoral zone atmospheric correction approach. In Phase II, advanced versions of the simulation and atmospheric correction algorithms will be developed, coded into versatile software packages, and applied to analysis of commercial satellite littoral zone imagery with an emphasis on LWD information extraction. We envision two commercial software products resulting from this effort, one for simulation of airborne and satellite-based panchromatic, multi and hyperspectral VIS-NIR imagery of the littoral zone, and the other for littoral zone atmospheric correction and surface, feature, and object extraction and identification. Both products will address military and commercial market needs for user-friendly analyst-oriented and fully automated software packages that facilitate the analysis of VIS-NIR imagery. The range of applications is extensive; a few examples include mission planning for amphibious assaults, battlefield surveillance, target detection and identification, technical intelligence, pollutant monitoring of coastal regions and inland waters, monitoring of fish habitats, and damage assessment from coastal storms.

CHARLES RIVER ANALYTICS, INC.
725 Concord Avenue
Cambridge, MA 02138
Phone:
PI:
Topic#:
(617) 491-3474
Dan L. Grecu
NIMA 00-002
Title:Agent for Intelligent Analysis Support
Abstract:Intelligence analysts have to respond to the information needs of commanders and decision makers leading military forces into potential engagements in a diversity of scenarios and in a large variety of geographical, political and social contexts. For NIMA this task requires the semantic integration of the imagery and geospatial analysis with large and diverse data repositories and real-time information. To support this information retrieval and integration process we propose the development of an Agent for Intelligent Analysis Support. The agent will assist analysts by semantically representing the context of the analysis problem and using it to support the intelligent information retrieval process. The agent will also amplify the information retrieval process by using domain ontologies, and will suggest additional information sources based on semantic associations with the problem context. The proposed approach will enable imagery and geospatial analysts to respond to queries anchored in the semantics of concrete tactical situations, and to complete their responses with data and knowledge available from intelligence channels, technical databases, and electronic knowledge repositories. The development effort will comply with DII-COE standards and integrate with the toolsets that are currently part of the United States Imagery & Geospatial Information Systems framework. The proposed effort has significant potential aplications, both as a technology and as an end-product. As a technology the approach will provide tools for context-based semantic information retrieval from real-time information streams and repositories, in response to the decision-makers increasingly complex information needs. Candidate domains range from command and control centers, to market analysis, and to assessment in complex medical domains. As an end-product, the associated knowledge engineering tools will support on-going DoD efforts to develop multi-domain collections of knowledge bases, analysis and reasoning tools, that will enable the warfighter to take rapid, and informed decisions in complex, real-time situations.

LYNNE GILFILLAN ASSOC., INC.
12150 Monument Drive, Suite 30
Fairfax, VA 22033
Phone:
PI:
Topic#:
(703) 293-2373
Jeffrey Coble
NIMA 00-002
Title:Intelligent Software Agents in Distributed Information Environments
Abstract:LGA proposes to create an Intelligent Agent Environment (IAE) that, when deployed with a smart, collaboratory, portal application (e.g., LGA's WhereWeWork) would make available to the NIMA analysts the following capabilities: transparent, user-directed access to heterogeneous data sources via a semantically-smart search and query engine; automatic updating of searches results; the flexibility to organize information in ways useful for analysis; easy sharing of information with colleagues; agent directed or mediated searches that find and display information for the analyst on the basis of the tasks being performed (i.e. information push); tools to support the analytical process (e.g., what would an expert do next), and prompts for other appropriate actions (e.g., initiating a tasking request.). The IAE provides the analyst with a virtual "master sergeant", who knows the ropes, is familiar with the data sources, knows how information should be processed before the analyst sees it, knows who else is working similar tasks or domains, and promptly advises the analyst of any information of interest, and suggests appropriate actions. Moreover, the "master sergeant" learns about the analyst's tasks and preferences, and so can provide more relevant and appropriate information over time. The "master sergeant becomes, in effect, the institutional memory. The Intelligent Agent Environment (IAE) should reduce the amount of time and effort spent on searching for the right information, and allow the analyst to concentrate on the analytic tasks at hand. Because the agents learn as they go, they become advisors to their analysts, and embody the institutional memory on certain tasks. The proposed architecture for IAE will allow the system to be customized for a variety of task domains, including, but not limited to law, law enforcement, medicine, and scientific research of many kinds.

DTAI, INC.
2815 Camino del Rio South, Third Floor, Suite 300
San Diego, CA 92108
Phone:
PI:
Topic#:
(619) 542-1700
William J. Lansing
NIMA 00-003
Title:Database Designs for Spatio-Temporal Reasoning
Abstract:The Phase I effort will investigate the design space for databases that represent and support reasoning with geospatial entities which are located in time and all three spatial dimensions, with related non-spatial data, and with properties of changing objects and their relationships with each other and with the natural shape of the earth's surface. The effort will consider recent results in the areas of constraint databases, knowledge bases and description logics, spatial reasoning, and temporal reasoning, with an emphasis on working prototype systems. In addition, consideration will be given to work on uncertain and inconsistent spatio-temporal information. The anticipated benefits are the development of the capability to integrate results from different research and technology areas in order to enable a database design which will provide analysts and decision makers with enhanced access to complex geospatial and related data, and afford completely new methods for querying that data. Potential commercial applications include all corporate operations that need enhanced access and querying capability to such data.

INFORMATION EXTRACTION & TRANSPORT
1911 N. Ft. Myer Drive, Suite 600
Arlington, VA 22209
Phone:
PI:
Topic#:
(703) 841-3500
Ed Wright
NIMA 00-003
Title:A Computational Hypothesis Space for Geospatial Information
Abstract:This research will develop a revolutionary advance in database concepts for geospatial information that will support future intelligence analysts in providing responsive support to military operations. The concept will provide a computational hypothesis space that provides capabilities for advanced reasoning about features distributed in time and space based on diverse sources of information. The proposed capability will support today's intelligence analyst with the challenging task of providing responsive support to military operations. When a crisis arises suddenly in an area of the world where little initial data is available, the capability will provide rapid access to imagery, spatial data, text, and intelligence reports from diverse heterogeneous sources with wide variations in currency and quality. Over time, as crisis develop, a vast amount of current and detailed data is continuously collected and generated by a wide range of sensors and production systems. The proposed database architecture will also provide capabilities to correlate and fuse all of this information so analysts can reason about the military situation and provide a high level of support to commander's operational requirements. The revolutionary database concepts developed under this research will support advanced reasoning with geospatial information in a wide range of military and civilian problem domains. Applications include intelligence analysis, operational planing, resource management and exploration, and transportation and urban planning.