Tech Briefs Magazine - July 2021 - 23

generalizable and transferable to other
munitions and explosives of concern;
for example, they could be adapted to
detect and map disturbed soil for
improvised explosive devices (IEDs).
The use of Convolutional Neural Net -
work (CNN)-based approaches to automate
the detection and mapping of
landmines is important for several reasons.
First, it is much faster than manually
counting landmines from an ortho -
image (i.e. an aerial image that has been
geometrically corrected). Second, it is
quantitative and reproducible, unlike sub -
jective human-error-prone ocular detection.
And third, CNN-based methods are
easily generalizable to detect and map
any objects with distinct sizes and shapes
from any remotely sensed raster images.
For more information, contact John Brhel
at jbrhel@binghamton.edu.
GPS-Enhanced Onboard Navigation System (GEONS)
The open-architecture flight software package provides solutions for onboard
orbit determination.
Goddard Space Flight Center, Greenbelt, Maryland
hile real-time positioning computed
by standard GPS service is adequate
for some onboard applications, inherent
position discontinuities are not acceptable
for high-precision instrument applications,
such as view-period prediction and maneuver
planning, both of which are computations
that require a continuous prediction
of the spacecraft state. Real-time positioning
also requires simultaneous measurements
from four GPS satellites, a missionlimiting
factor that must be considered.
W
The GEONS software processes data
from standard GPS receivers, onboard
communication equipment, and/or attitude
sensors, producing accurate ab -
solute and relative navigation solutions
in real time. Other functions, including
onboard maneuver control and relative
navigation for keeping formations, are
also supported by GEONS. All information
is quickly available to scientists
when it is included in the downlinked
telemetry stream.
GEONS provides high-quality solutions
with fewer than four visible GPS
space vehicles by employing an extended
Kalman filter (EKF) augmented with
physically representative models for
gravity, atmospheric drag, solar radiation
pressure, clock bias, and drift to
provide accurate state estimation and a
realistic state error covariance. GEONS
incorporates the information from all
past measurements, carefully balanced
with GEONS data of the physical models
Tech Briefs, July 2021
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Tech Briefs Magazine - July 2021

Table of Contents for the Digital Edition of Tech Briefs Magazine - July 2021

Tech Briefs Magazine - July 2021 - Intro
Tech Briefs Magazine - July 2021 - Sponsor
Tech Briefs Magazine - July 2021 - Cov1
Tech Briefs Magazine - July 2021 - Cov2
Tech Briefs Magazine - July 2021 - 1
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Tech Briefs Magazine - July 2021 - 3
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Tech Briefs Magazine - July 2021 - Cov3
Tech Briefs Magazine - July 2021 - Cov4
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