Nazlıbilek, SedatEge, YavuzErtürk, Korhan LeventNazlibilek, SedatKakilli, AdnanCitak, HakanKalender, OsmanErturk, Korhan LeventKaracor, DenizInformation Systems EngineeringDepartment of Mechatronics Engineering2024-07-052024-07-05201680196-28921558-064410.1109/TGRS.2015.24888382-s2.0-84946100137https://doi.org/10.1109/TGRS.2015.2488838https://hdl.handle.net/20.500.14411/471Karacor, Deniz/0000-0001-6961-8966; ERTÜRK, Korhan/0000-0002-1162-2580; Kakilli, Adnan/0000-0003-2432-4424; Sengul, Gokhan/0000-0003-2273-4411In this paper, a new magnetic measurement system is developed to determine upper surfaces of buried magnetic materials, particularly land mines. This measurement system uses the magnetic-anomaly-detection method. It also has intelligent identification software based on an image matching algorithm. It is aimed to determine and identify the buried ferromagnetic materials with minimum energy consumption. It is concentrated on the detection and identification of the shapes of upper surfaces of buried magnetic materials in dry and wet conditions. The effect of humidity in the detection process for detection is tested. In this paper, we used sensor images to identify various ferromagnetic materials and similar objects. Sensor images of soils at various humidities covering the objects were obtained. We used the speeded-up-feature-transform algorithm in the comparison process of the images. Dry soil sample images match with the corresponding wet soil samples with the highest matching rate. The images for different objects can easily be distinguished by the matching process.eninfo:eu-repo/semantics/closedAccessImage matchingmagnetic materialsmine detectionresistive sensorsspeeded-up feature transform (SURF) algorithmArticleQ154318031811WOS:000372369400043