Over the last few decades, we have seen an increase in both quality and quantity of 3D data sets. These data sets primarily come in the form of discrete points that are projected onto the surface of the object (point clouds) and are often derived from either LIDAR data (in which case, the surface points are actively sensed) or stereoscopic pairs (in which case, the surface points are derived using two dimensional (2D) feature matching algorithms). As these data sets become larger and denser, they also become harder to sift through which demands methods for automatic object classification through computer vision processes. In this paper we revisit a method of recognizing objects from their surface features known as Tripod Operators. More specifically, we explore how matching multiple features from an unknown object to a known shape allows us to determine the extent to which the objects are similar using the resultant Digital Elevation Model (DEM) or Surface Elevation Model (SEM) that results from manipulation of point clouds.. We apply this method to determine how to separate objects of various classes.
A composite signature is a group of signatures that are related in such a way to more completely or further define a target
or operational endeavor at a higher fidelity. This paper builds on previous work developing innovative composite
signatures associated with civil disasters, including physical, chemical and pattern/behavioral. For the composite
signature approach to be successful it requires effective data fusion and visualization. This plays a key role in both
preparedness and the response and recovery which are critical to saving lives. Visualization tools enhance the overall
understanding of the crisis by pulling together and analyzing the data, and providing a clear and complete analysis of the
information to the organizations/agencies dependant on it for a successful operation. An example of this, Freedom Web,
is an easy-to-use data visualization and collaboration solution for use in homeland security, emergency preparedness,
situational awareness, and event management. The solution provides a nationwide common operating picture for all
levels of government through a web based, map interface. The tool was designed to be utilized by non-geospatial
experts and is easily tailored to the specific needs of the users. Consisting of standard COTS and open source databases
and a web server, users can view, edit, share, and highlight information easily and quickly through a standard internet
A composite signature is a group of signatures that are related in such a way to more completely or further define a
target or operational endeavor at a higher fidelity. This paper explores the merits of using composite signatures, in lieu
of waiting for opportunities for the more elusive diagnostic signatures, to satisfy key essential elements of information
Keywords: signature, composite signature, civil disaster
(EEI) associated with civil disaster-related problems. It discusses efforts to refine composite signature development
methodology and quantify the relative value of composite vs. diagnostic signatures. The objectives are to: 1) investigate
and develop innovative composite signatures associated with civil disasters, including physical, chemical and
pattern/behavioral; 2) explore the feasibility of collecting representative composite signatures using current and
emerging intelligence, surveillance, and reconnaissance (ISR) collection architectures leveraging civilian and
commercial architectures; and 3) collaborate extensively with scientists and engineers from U.S. government
organizations and laboratories, the defense industry, and academic institutions.
It has been observed that electronic devices emit unintentional electromagnetic energy. These emissions can create a
passive radio frequency signature that can be used to characterize and eventually detect and identify the device. In
support of this concept, the authors have integrated high fidelity models and simulations into a framework used to
perform collection feasibility studies of unintentional electronic emissions in relevant detection scenarios. This paper
will discuss the elements involved in simulating realistic electronic emissions in a complex environment, including near
earth propagation, terrain model effects, and visualization techniques.
The Signatures Support Program (SSP) leverages the full spectrum of signature-related activities (collections,
processing, development, storage, maintenance, and dissemination) within the Department of Defense (DOD), the
intelligence community (IC), other Federal agencies, and civil institutions. The Enterprise encompasses acoustic,
seismic, radio frequency, infrared, radar, nuclear radiation, and electro-optical signatures. The SSP serves the war
fighter, the IC, and civil institutions by supporting military operations, intelligence operations, homeland defense,
disaster relief, acquisitions, and research and development. Data centers host and maintain signature holdings,
collectively forming the national signatures pool. The geographically distributed organizations are the authoritative
sources and repositories for signature data; the centers are responsible for data content and quality. The SSP proactively
engages DOD, IC, other Federal entities, academia, and industry to locate signatures for inclusion in the distributed
national signatures pool and provides world-wide 24/7 access via the SSP application.
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