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)
528
vessels is catching. Although the data to be reported
will vary from fishery to fishery, flag States should
require their fishing vessels to report timely, complete
and accurate information concerning fishery
activities, including: vessel identification, position,
course, speed, fishing effort, catch composition, zone
entry/exit (including closed areas entry/exit). Flag
States should also establish a mechanism to verify the
accuracy of reported data and should penalize the
failure to report and misreporting of data. For serious
offences, such sanctions should include withdrawal or
suspension of the vessel’s authorization to fish.
The term “illegal, unreported and unregulated
fishing” or IUU fishing is used to describe a wide
range of irresponsible fishing activities, such as
reflagging of fishing vessels to evade controls, fishing
in areas without authorization, failure to report or
misreporting catches. Such activities undermine
efforts to manage marine fisheries properly and
impedes progress toward the goal of sustainable
fisheries.
Apparently, automatic detection and identification
of fishing activities is essential to effective fishery
MCS and sustainable fishery. This is the focus and
main purpose of the work presented in this paper. It
is envisioned that development of such functionality
can further contribute to maritime spatial planning as
well as maritime safety and security.
One of the most efficient and cost-effective tool for
fisheries MCS is Vessel Monitoring System (VMS).
Over the past 20 years, a growing number of States
have introduced VMS requirements for their fishing
vessels or as a condition of access for foreign vessels
to fish in waters under their jurisdiction. Most
international agreements adopted by regional
fisheries management organizations (RFMOs) also
require VMS.
In the early days of fishing activity detection, most
researchers use data collected by VMS to predict
when the vessels is in fishing operation. VMS mainly
relies on satellite-based automatic location
communicators, including Inmarsat-C, ARGOS, and
Iridium, and the position report interval is usually set
at 1 hour for coastal monitoring due to the cost.
The vessel’s speed is used as a threshold to judge
the behavior [2,3,4]. However only the trawling
accuracy is relatively high when compared with other
fishing methods. In order to improve the accuracy,
Artificial neural networks(ANN) are used for
analyzing the VMS data, and the optimization of the
parameters is adjusted by sensitivity method [5,6].
Compared with VMS, Automatic Identification
System (AIS) provides much detailed locations and
more attributes of the vessels in real-time. Besides,
AIS position reports are broadcast in maritime VHF
band using standard unencrypted message formats,
which can be collected by coastal receivers in range.
AIS data can even be received by satellites, thus called
Satellite AIS (S-AIS). S-AIS can cover deep sea fishing
area, although with some data loss and latency. AIS
data has become an important asset to researches on
vessel tracks and fishing behaviors, e.g. [7]. In [8],
machine learning is used to identify the three type of
fishing activity, i.e. trawler, longliner, and purse
seiner, from S-AIS data and label the points as fishing
or non-fishing. Because longline fishing is a
complicated fishing method, in [9] a novel approach is
proposed for identifying fishing activity using the
Conditional Random Fields. In [10], deep learning is
used with auto-encoders to automatically find fishing
features. However, the research in [10] is using S-AIS
data to detect fishing activity of distant water fishing.
So far in the literature, to the author’s knowledge,
none of the AIS-based fishing activity detection is for
small and medium-sized fishing vessels on coastal
waters.
To detect fishing activity and improve
identification performance, we implement an
identification methodology based on deep learning.
Key features of fishing are created in advance and a
multi-layered bidirectional long short term memory
model is built to predict three types of fishing
activities, namely trawling, trolling, and longline
fishing, on coastal waters around Taiwan. This paper
is organized as follows. Section II introduces
terminologies used throughout this paper. Section III
describes the data preprocessing and reports the
results of the experiments. Conclusions are then
presented in Section IV.
2 BACKGROUND OF METHODS
2.1 Recurrent Neural Network
Recurrent Neural Network (RNN) is a well-known
model to deal with sequential data. The structure of a
simple RNN, illustrated in Fig. 1, has feedback loops
which let model maintain memory over time. This
means input has not only the result of the previous
hidden layer, but also the value predicted at the
previous time.
An RNN can be described mathematically as
follows. Given a sequence of feature vector
=
{
,
, … ,
}. An RNN with a hidden vector
sequence
= {
,
, … ,
} and output vector
sequence
= {
,
, …,
} is calculated as
follows:
( )
1 11t h t ht
h Wx Wh b
σ
−
= ++
(1)
(2)
where
and
denote the input weight matrix
and bias vector, respectively.
denotes the weight
matrix between consecutive hidden states (
1
t
−
and
), while
and
denote activation functions of
the hidden layer and output layer.
Figure 1. Recurrent Neural Network architecture