A Hybrid Framework for Maritime Surveillance: Detecting Illegal Activities through Vessel Behaviors and Expert Rules Fusion
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
View abstract on PubMed
Summary
This summary is machine-generated.This study introduces a new framework for detecting illegal maritime activities using navigation behavior and expert knowledge. The system achieves high accuracy in identifying illegal fishing and suspicious activities, enhancing maritime surveillance.
Area Of Science
- Maritime Surveillance
- Artificial Intelligence
- Data Science
Background
- Global maritime traffic is crucial for trade but faces challenges in safety, environmental protection, and preventing illicit activities.
- Existing methods for maritime surveillance often struggle with data integration and the conversion of expert knowledge into actionable rules.
- The Automatic Identification System (AIS) provides valuable data but requires sophisticated analysis to detect complex illegal activities.
Purpose Of The Study
- To develop and validate a novel framework for detecting illegal maritime activities by integrating navigation behavior models with expert knowledge.
- To create a scalable and efficient system for classifying maritime activities, including illegal fishing, suspicious, and anomalous behaviors.
- To address data labeling limitations and combine data-driven approaches with expert insights for improved maritime domain awareness.
Main Methods
- A five-level framework based on the Joint Directors of Laboratories (JDL) model was developed, integrating data from multiple sources.
- A stack ensemble model combined with active learning was employed to address data scarcity and merge data-driven detection with expert knowledge.
- Synthetic and real-world Automatic Identification System (AIS) datasets were utilized for training and evaluating the detection models.
Main Results
- The framework achieved high accuracy, with 99% for detecting illegal fishing and 92% for suspicious activities.
- The system significantly reduced the need for manual checks by maritime specialists.
- Expert tacit knowledge was effectively transformed into explicit, model-driven rules, enabling continuous updates to maritime domain awareness.
Conclusions
- The developed framework offers a scalable and efficient solution for enhancing maritime surveillance and detecting illegal activities.
- Integrating AI-driven behavior analysis with expert knowledge provides a robust approach to maritime security.
- This work represents a significant advancement in transforming expert insights into automated detection systems for the maritime domain.
Contact us if these videos are not relevant.
Contact us if these videos are not relevant.
Related Concept Videos
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
Conducting Experiments:
The first step is to conduct experiments by systematically varying the input variables. This is typically done using a specific experimental design, such as a factorial...
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Additivity means that the response to the sum of multiple inputs is the sum of their individual responses. For inputs x1(t) and x2(t) producing outputs y1(t) and y2(t), respectively:
Combining homogeneity and...
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Discrete-time systems have input and output signals at specific intervals, defined at distinct instants by difference equations. An example...
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...