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Your search keyword '"Bekker, Dmitriy L."' showing total 7 results
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7 results on '"Bekker, Dmitriy L."'

1. Successful kinetic impact into an asteroid for planetary defence

Author

Daly, R. Terik, Ernst, Carolyn M., Barnouin, Olivier S., Chabot, Nancy L., Rivkin, Andrew S., Cheng, Andrew F., Adams, Elena Y., Agrusa, Harrison F., Abel, Elisabeth D., Alford, Amy L., Asphaug, Erik I., Atchison, Justin A., Badger, Andrew R., Baki, Paul, Ballouz, Ronald-L., Bekker, Dmitriy L., Bellerose, Julie, Bhaskaran, Shyam, Buratti, Bonnie J., Cambioni, Saverio, Chen, Michelle H., Chesley, Steven R., Chiu, George, Collins, Gareth S., Cox, Matthew W., DeCoster, Mallory E., Ericksen, Peter S., Espiritu, Raymond C., Faber, Alan S., Farnham, Tony L., Ferrari, Fabio, Fletcher, Zachary J., Gaskell, Robert W., Graninger, Dawn M., Haque, Musad A., Harrington-Duff, Patricia A., Hefter, Sarah, Herreros, Isabel, Hirabayashi, Masatoshi, Huang, Philip M., Hsieh, Syau-Yun W., Jacobson, Seth A., Jenkins, Stephen N., Jensenius, Mark A., John, Jeremy W., Jutzi, Martin, Kohout, Tomas, Krueger, Timothy O., Laipert, Frank E., Lopez, Norberto R., Luther, Robert, Lucchetti, Alice, Mages, Declan M., Marchi, Simone, Martin, Anna C., McQuaide, Maria E., Michel, Patrick, Moskovitz, Nicholas A., Murphy, Ian W., Murdoch, Naomi, Naidu, Shantanu P., Nair, Hari, Nolan, Michael C., Ormö, Jens, Pajola, Maurizio, Palmer, Eric E., Peachey, James M., Pravec, Petr, Raducan, Sabina D., Ramesh, K. T., Ramirez, Joshua R., Reynolds, Edward L., Richman, Joshua E., Robin, Colas Q., Rodriguez, Luis M., Roufberg, Lew M., Rush, Brian P., Sawyer, Carolyn A., Scheeres, Daniel J., Scheirich, Petr, Schwartz, Stephen R., Shannon, Matthew P., Shapiro, Brett N., Shearer, Caitlin E., Smith, Evan J., Steele, R. Joshua, Steckloff, Jordan K., Stickle, Angela M., Sunshine, Jessica M., Superfin, Emil A., Tarzi, Zahi B., Thomas, Cristina A., Thomas, Justin R., Trigo-Rodríguez, Josep M., Tropf, B. Teresa, Vaughan, Andrew T., Velez, Dianna, Waller, C. Dany, Wilson, Daniel S., Wortman, Kristin A., and Zhang, Yun

Published
2023
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2. The COVE Payload - A Reconfigurable FPGA-Based Processor for CubeSats

Author

Bekker, Dmitriy L, Pingree, Paula J, Werne, Thomas A, Wilson, Thor O, and Franklin, Brian R

Subjects
Computer Programming And Software
Abstract

This paper presents the COVE payload architecture on the M-Cubed CubeSat and explores how the capabilities of this Virtex-5 FPGA-based processing platform could enable future CubeSat missions

Published
2011

5. Real-Time On-Board Processing Validation of MSPI Ground Camera Images

Author

Pingree, Paula J, Werne, Thomas A, and Bekker, Dmitriy L

Subjects
Instrumentation And Photography
Abstract

The Earth Sciences Decadal Survey identifies a multiangle, multispectral, high-accuracy polarization imager as one requirement for the Aerosol-Cloud-Ecosystem (ACE) mission. JPL has been developing a Multiangle SpectroPolarimetric Imager (MSPI) as a candidate to fill this need. A key technology development needed for MSPI is on-board signal processing to calculate polarimetry data as imaged by each of the 9 cameras forming the instrument. With funding from NASA's Advanced Information Systems Technology (AIST) Program, JPL is solving the real-time data processing requirements to demonstrate, for the first time, how signal data at 95 Mbytes/sec over 16-channels for each of the 9 multiangle cameras in the spaceborne instrument can be reduced on-board to 0.45 Mbytes/sec. This will produce the intensity and polarization data needed to characterize aerosol and cloud microphysical properties. Using the Xilinx Virtex-5 FPGA including PowerPC440 processors we have implemented a least squares fitting algorithm that extracts intensity and polarimetric parameters in real-time, thereby substantially reducing the image data volume for spacecraft downlink without loss of science information.

Published
2010

6. Command and data handling system for the Panchromatic Fourier Transform Spectrometer.

Author

Bekker, Dmitriy L., Blavier, Jean-Francois L., Fu, Dejian, Key, Richard W., Manatt, Ken S., McKinney, Colin, Rider, David M., Sander, Stanley P., Werne, Thomas A., Wu, Amy C., and Wu, Yen-Hung

Abstract

Panchromatic Fourier Transform Spectrometer (Pan-FTS) is an Instrument Incubator Program (IIP) funded development to build and demonstrate a single instrument capable of meeting or exceeding the requirements of the Geostationary Coastal and Air Pollution Events (GEO-CAPE) mission. Pan-FTS has recently started operation at Mt. Wilson, CA, providing atmospheric measurement capabilities in the IR and UV-VIS. The currently deployed instrument includes two Focal Plane Arrays (FPA): a Raytheon IR FPA and a JPL developed UV-VIS FPA. This paper discusses the major electronic and software components of the instrument's FPGA-based command and data handling (C&DH) system. Progress made in the last year is discussed, with emphasis on the overall system architecture, FPA data acquisition, sigma-delta filter design, and optical path-difference mechanism (OPDM) control. Spectra recorded with single element detectors by PanFTS at Mt. Wilson are presented. [ABSTRACT FROM PUBLISHER]

Published
2012
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7. Field Demonstration of an Instrument Performing Automatic Classification of Geologic Surfaces.

Author

Bekker, Dmitriy L., Thompson, David R., Abbey, William J., Cabrol, Nathalie A., Francis, Raymond, Manatt, Ken S., Ortega, Kevin F., and Wagstaff, Kiri L.

Subjects
*GEOLOGICAL mapping, *PHYSICAL geology, *QUANTITATIVE research, *PLANETARY geology, *SPACE exploration
Abstract

This work presents a method with which to automate simple aspects of geologic image analysis during space exploration. Automated image analysis on board the spacecraft can make operations more efficient by generating compressed maps of long traverses for summary downlink. It can also enable immediate automatic responses to science targets of opportunity, improving the quality of targeted measurements collected with each command cycle. In addition, automated analyses on Earth can process large image catalogs, such as the growing database of Mars surface images, permitting more timely and quantitative summaries that inform tactical mission operations. We present TextureCam, a new instrument that incorporates real-time image analysis to produce texture-sensitive classifications of geologic surfaces in mesoscale scenes. A series of tests at the Cima Volcanic Field in the Mojave Desert, California, demonstrated mesoscale surficial mapping at two distinct sites of geologic interest. Key Word: Interpretation of planetary mission data. Astrobiology 14, 486-501. [ABSTRACT FROM AUTHOR]

Published
2014
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