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in the visible spectrum of light with advantages related to the smaller wavelengths of the laser pulse. Lidar ranges in wavelength from ultra-violet (0.3-0.45 μm) to visible (0.45-0.70 μm) to the infrared (1-15 μm). Lidar can detect much smaller particles than radar in the atmosphere
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The Remote
Sensing Center benefits from the secure facilities at NPS. Having the ability to process classified data with an on-site, fully equipped Sensitive Compartmented Information Facility (SCIF) allows students and faculty to pursue lines of research and work with technologies unavailable to
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The raw form of data is a set of x,y,z coordinate points. With recent advances, resolution has improved dramatically. Raw data can be processed to remove unwanted areas or features. Outputs such as topographic maps with contour lines can also be derived from lidar. Programs to manipulate lidar
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data, is produced when "solar electromagnetic energy reflected from the earth's surface is dispersed into many contiguous narrow spectral bands by an airborne spectrometer" (Stefanou, 1997, p. 2). Our current research and projects include environmental mapping, target detection, and change
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The Naval
Postgraduate School, and specifically the Remote Sensing Center, has the ability to handle classified data, as well as access to a Sensitive Compartmented Information Facility (SCIF) that is fully equipped with comms, storage, and processing capabilities. The RSC has pre-established
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The Remote
Sensing Research and Education Program (RS-REP) is an interdisciplinary program to promote Remote Sensing technical education and research advancement to ensure that the Intelligence Community is fully supported for technology evolution. The curriculum is in hiatus as of 2017.
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Spectral imagery measures the spectral character of materials within the visible range and beyond. Two objects may appear visually identical but may be distinguished through examination of their spectral properties. Computer software can use a color scheme to make them visible.
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The Remote
Sensing Center is planning research projects that undertake the modeling and testing of analytical processing and using more fieldwork to obtain ground-truth measurements. Projects have been completed and are currently underway in terrain classification including
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cooperative research with government, academia, and industry in the remote sensing sector ranging from local to international partners. Highly experienced military officers, intelligence analysts, and faculty are a critical part of the NPS research staff.
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and hidden trail identification. Other future projects include a collaboration with the MOdeling, Virtual
Environments, and Simulation (MOVES) institute on lidar standards for data structure and visualization tools and modeling new lidar analysis tools.
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The sustained efforts of fully funded graduate students, both military and civilian with an average of eight to ten years of field experience, have conducted research in an array of topics related to remote sensing.
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was established to bring together a range of capabilities and expertise to address problems of military and intelligence importance, as well as environmental and civil concerns. It is specialized in a variety of
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424:, HYDICE, CASI, and HYMAP. Classification and analysis, including atmospheric compensation is performed using standard industry research tools; notably ENVI and ERDAS Imagine. The RSC has acquired a
380:). DEMs are displayed in a raster format with a matrix. The DEM has a specified cell size that corresponds to the earth’s surfaces. The cell contains the average elevation of the points within it.
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Fermin
Espinoza-Lieutenant Commander, United States Navy Robb E. Owens-Major, United States Air Force September 2007 Advisor: Richard Christopher Olsen Second Reader: Mark C. Abrams (
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departments. They are collaborating to develop new remote sensing systems, as well as use and exploit current systems in air and space. It is part of a larger activity in the
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Mark A. Camacho-Lieutenant, United States Naval
Reserve September 2006 Advisor: Dr. Daria Siciliano Co-Advisor: Dr. Richard C. Olsen (
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Anthony W Davis Jr.- Lieutenant, United States Navy
September 2007 Advisor: Richard Olsen Second Reader: David Trask (
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technologies designed to enable people to look beyond the range of human vision in range or in spectral perception.
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area that provides expertise in topical areas outside the technical disciplines available at NPS.
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Depth
Analysis Of Midway Atoll Using Quickbird Multi-Spectral Imaging Over Variable Substrates
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Richard
Christopher Olsen: Executive Director, Professor in the Physics Department
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The Use Of Commercial Remote Sensing In Predicting Helicopter Brownout Conditions
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Helicopter Brownout (terrain classification) using National Technical Means (NTM)
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R.C. Olsen, Remote Sensing from Air And Space (SPIE Press Monograph Vol. PM162).
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ArcView (with 3D analyst ext.) One useful derivation of lidar data is the DEM (
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The Remote Sensing Center works with airborne and satellite systems including
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A Signal Processing Perspective of Hyperspectral Imagery Analysis Techniques
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This article is about the American organization. Not to be confused with
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http://www.nps.edu/Faculty/Olsen/Student_theses/07Sep_Espinoza_Owens.pdf
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Geographic data and information organizations in the United States
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http://www.nps.edu/Faculty/Olsen/Student_theses/06Sep_Camacho.pdf
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http://www.nps.edu/Faculty/Olsen/Student_theses/07Sep_Davis.pdf
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Marcus Stavros Stefanou, Electrical Engineering, June, 1997. (
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camera for expanding experimentation in the visible spectrum.
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Identifying Roads And Trails Hidden Under Canopy Using Lidar
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http://www.nps.edu/Faculty/Olsen/Student_theses/stefanou.pdf
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Fleet Numerical Meteorology and Oceanography Center
593:David Trask: NPS MASINT Chair (Colonel, USAF ret.)
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91:but its sources remain unclear because it lacks
549:National Oceanic and Atmospheric Administration
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355:(LIght raDAR) works as an optical analog to
498:California State University at Monterey Bay
57:Learn how and when to remove these messages
163:. Please do not remove this message until
488:University of California at Santa Barbara
201:Learn how and when to remove this message
183:Learn how and when to remove this message
122:Learn how and when to remove this message
519:Monterey Bay Aquarium Research Institute
159:Relevant discussion may be found on the
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559:United States Naval Research Laboratory
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532:Lawrence Livermore National Laboratory
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165:conditions to do so are met
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683:Naval Postgraduate School
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509:Elkhorn Slough Foundation
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106:more precise citations.
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364:data include ENVI,
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324:Monterey Bay
320:oceanography
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98:Please help
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406:detection.
316:meteorology
238:Established
104:introducing
677:Categories
618:References
257:California
150:neutrality
43:improve it
415:Quickbird
173:July 2021
161:talk page
49:talk page
470:Partners
341:Projects
251:Monterey
246:Location
154:disputed
580:Members
370:ArcInfo
312:physics
306:Mission
270:Website
100:improve
422:AVIRIS
411:IKONOS
372:, and
318:, and
575:(NRO)
569:(NGA)
357:radar
352:Lidar
346:Lidar
85:, or
374:ESRI
289:The
281:/rsc
279:.edu
277:.nps
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147:The
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