has been cited by the following article(s):
|
[1]
|
Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging
Remote Sensing,
2024
DOI:10.3390/rs16040677
|
|
|
|
|
[2]
|
Drone-based Landmine Detection Mission Planning
2023 IEEE 7th International Conference on Methods and Systems of Navigation and Motion Control (MSNMC),
2023
DOI:10.1109/MSNMC61017.2023.10329129
|
|
|
|
|
[3]
|
Design and simulation of landmines detection system based on fast neutron analysis
Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms,
2020
DOI:10.1016/j.nimb.2020.09.010
|
|
|
|
|
[4]
|
Non-classical applications of chemical analysis based on nuclear activation
Journal of Radioanalytical and Nuclear Chemistry,
2020
DOI:10.1007/s10967-019-06977-w
|
|
|
|
|
[5]
|
Landmine Detection Using Multispectral Images
IEEE Sensors Journal,
2019
DOI:10.1109/JSEN.2019.2925203
|
|
|
|
|
[6]
|
Multi-Temporal IR Thermography For Mine Detection
2019 10th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp),
2019
DOI:10.1109/Multi-Temp.2019.8866906
|
|
|
|
|
[7]
|
Detection and Imaging of Underground Objects for Distinguishing Explosives by Using a Fluxgate Sensor Array
Applied Sciences,
2019
DOI:10.3390/app9245415
|
|
|
|
|
[8]
|
Classification of explosives materials detected by magnetic anomaly method
2017 4th International Conference on Electrical and Electronic Engineering (ICEEE),
2017
DOI:10.1109/ICEEE2.2017.7935848
|
|
|
|
|
[9]
|
Design of a data acquisition system for passive detection of buried explosives
2017 4th International Conference on Electrical and Electronic Engineering (ICEEE),
2017
DOI:10.1109/ICEEE2.2017.7935846
|
|
|
|
|
[10]
|
Anomaly detection with low magnetic flux: A fluxgate sensor network application
Measurement,
2016
DOI:10.1016/j.measurement.2015.12.004
|
|
|
|