Promise of Spectral and Signatures Understanding. Todd Hawley Sean Acklam (SpecTIR) Technical Director Signatures Technology Fellow National Signatures Program National Signatures Program. Real Life Applications. Promise of Spectral. New sensor systems Novel spectral analysis
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Todd Hawley Sean Acklam (SpecTIR)
Technical Director Signatures Technology Fellow
National Signatures Program National Signatures Program
Hyperspectral data enables automated identification of roof types including discrimination of red asphalt shingles from terra cotta roofs.
Wildland Vegetation Density Analysis
(determine fuel availability for wildfire and vegetation types)Bio-Mass / Material Discrimination Study
Vegetation, permeability, and soil moisture mapping - Colorado Springs, COUrban/Vegetative Boundary
Principal Component - Unsupervised Classification Colorado Springs, CO
Forested Wetlands – MD Eastern Shore – February 2006Wetlands
0.5 meter spatial
5 nm spectral
Mosaic of two lines
Correct: Colorado Springs, CO half of road is degraded
Correct: Recently paved
Moderate road with slight cracks
Severely degraded roadRoad Analysis Results
Adding unique elements of hyperspectral imaging and material classification…
…to LIDAR-derived topographic, very high resolution topographic information, yields unprecedented level of terrain informationHSI & LIDAR Integration
Paved Asphalt / Gravel (Lots) classification…
Paved Asphalt (Streets)
Metallic RoofsHSI & LIDAR Integration
Preliminary analysis of spectral anomalies associated with hurricane damage.
Near InfraRed (NIR) spectral camera together with multiple fiber optics is used to acquire snaphot moisture profiles across paper web in paper machine.Paper Industry
A fiber optics is used to acquire snaphot moisture profiles across paper web in paper machinefour-point fiber optic spectrometer measures dyed color at a resolution of <0.2 DE.
Pictures: Coltex system by Iris DPTextile Dyeing
3\4 Dimensional Products
Wavelet Transform fiber optics is used to acquire snaphot moisture profiles across paper web in paper machine
Inverse Wavelet Transform
Wavelet Fusion Tool: The wavelet fusion tool developed for the STF transforms any geographically linked data into wavelet space (sparse transformation) thereby decorrelating their coefficients, applies a fusion rule to the transformed data sets (dependent on internal geometry), and performs an inverse wavelet transformation on the newly fused datasets. The outcome is a fused dataset independent of wavelength and platform.Data Fusion
Independent Component Analysis Tool: The ICA tool uses fused data and transforms into a space where components within the datasets can be isolated for statistical independence from the rest of the dataset. Non independent data like Gaussian noise is “ignored” through the use of negentropy approximations as opposed to kurtosis during the transformation process. These independent components (or vectors) act as unique and accurate signatures for any future classification and feature extraction.Data Fusion
Generalized Relevance Learning Vector Quantization Tool: The GRLVQ tool is a hybrid classification driven feature extraction that uses the input independent components to classify, discriminate and\or identify features of interest and extract the features into a geo-database as a geographic information system. The final geo-database format, containing all inclusive signatures of the urban area of interest, can be used for a wide variety of analyses and products.Data Fusion
Three Modules for Information Visualization: Three modules define the signatures visualization tool. The first module is data input from the absolute geometric database. Data is represented in the form of clouds and is categorized via six different relationship types. These data clouds are projected using the second module made up of four axes depicted below. Finally, collection gaps and complete signature coverage are visualized by depicting collection asset coverage over the data clouds projected using the four axes.
Data relating to any sensor\observable\event can be loaded into the SVT through XML.Signature Visualization Tool (Exemplar)
Broad-based program into the SVT through XML.
to improve signature management & application
Acoustic DataNational Signatures Program
Platform for analysis & decisions
Unified access to diverse, distributed signatures
Operation on classified networks
Defense Intelligence Agency
National Ground Intelligence Center
Senior steering group
Who are Key
Spectral Infrared into the SVT through XML.
Improve signature management and application by balancing data users’ and providers’ needs.Objective
Data Need data users’ and providers’ needs.
Test & Evaluation
Modeling & Simulation
Other US Government
Chem’sNational Signature Pool
Data Summary data users’ and providers’ needs.
(Signature data)Operational Overview
XML Data Summaries
Dynamic signature operations: immediate on-demand access to all sources of quality assured standardized signatures and related data maintained with DOD, IC, and OGA to support sensor reprogramming in a highly fluid environment
Signature support plan (SSP): Potential observable signature types associated with each critical element of an activity, event, or equipment withing a specific mission area
Operational signature package (OSP): End user defined selection of operational signatures, their specific ordered integration, and the desired time sequencing required to support a specific mission area
Tip-off/Cross CueingKey Components
Modeling & simulation (M&S) tools to estimate signatures for environments and collectors not specifically available in NSP measured signature holdingsEstimation Environment
NSP Customer Communities
NSP Distributed Signature Modeling Centers
NSP Distributed Signature Data Centers
Modeled Signature Holdings
Signature Data Holdings
Gaps environments and collectors not specifically available in NSP measured signature holdings
Signatures data relating to any collections asset can be
loaded into the signatures visualization tool
Optimized Signatures environments and collectors not specifically available in NSP measured signature holdings
Current Collection Architecture