A Magnetic Measurement System and Identification Method for Buried Magnetic Materials Within Wet and Dry Soils

EGE Y., NAZLIBİLEK S., KAKİLLİ A., Citak H., Kalender O., ERTÜRK K. L., ...Daha Fazla

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, cilt.54, sa.3, ss.1803-1811, 2016 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 54 Sayı: 3
  • Basım Tarihi: 2016
  • Doi Numarası: 10.1109/tgrs.2015.2488838
  • Dergi Adı: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.1803-1811
  • Anahtar Kelimeler: Image matching, magnetic materials, mine detection, resistive sensors, speeded-up feature transform (SURF) algorithm, LAND MINE DETECTION
  • Marmara Üniversitesi Adresli: Evet

Özet

In 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.