Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Globally-scalable Automated Target Recognition (GATR)   GATR (Globally-scalable Automated Target Recognition) is a Lockheed Martin
software system for real-time object detection and classification in satellite
imagery on a worldwide basis. GATR uses GPU-accelerated deep learning software
to quickly search large geographic regions. On a single GPU it processes
imagery at a rate of over 16 square km/sec (or more than 10 Mpixels/sec), and
it requires only two hours to search the entire state of Pennsylvania for gas
fracking wells. The search time scales linearly with the geographic area, and
the processing rate scales linearly with the number of GPUs. GATR has a
modular, cloud-based architecture that uses the Maxar GBDX platform and
provides an ATR analytic as a service. Applications include broad area search,
watch boxes for monitoring ports and airfields, and site characterization. ATR
is performed by deep learning models including RetinaNet and Faster R-CNN.
Results are presented for the detection of aircraft and fracking wells and show
that the recalls exceed 90% even in geographic regions never seen before. GATR
is extensible to new targets, such as cars and ships, and it also handles radar
and infrared imagery.

21
The categories of this paper are: adap-org
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The categories of this paper are: eess
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The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
8
The categories of this paper are: hep-ex
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
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The categories of this paper are: dg-ga
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The categories of this paper are: cmp-lg
7
The categories of this paper are: hep-th