Detection and Recognition of Buried Conducting Objects Using Subsurface Microwave Images Constructed by Down-Looking GPR Measurements and by Energy-Based Target Features

Date

2019-07-26

Author

Dinc, Selman
Elibol, Hande
Guneri, Rutkay
Ozdol, Ab
Sik, Furkan
Yesilyurt, Ismail Taylan
Doğan, Mesut
Sayan, Gönül

Metadata

Show full item record

Item Usage Stats

222
views

0
downloads

URI

https://hdl.handle.net/11511/81369

Conference Name

AES (Advanced Electromagnetics Symposium) 2019, 24 - 26 Temmuz 2019

Collections

Unverified, Conference / Seminar

Suggestions

OpenMETU
Core

Detection and identification of greenhouse gases using infrared hyperspectral imagery Gür, Yusuf; Çetin, Yasemin; Department of Information Systems (2017) Recently, one of the most critical global environment problems is human and ecological exposure to hazardous wastes from urban, agricultural, industrial and military activities. These wastes often include greenhouse gases like water vapor, carbon dioxide, methane, nitrous oxide, ozone and other organic chemicals. To protect the environment from those gases, hyperspectral imaging can be applied due to its ability to extract large amount of spatial and spectral information. Detection of gases emitted into the...
Detection and monitoring of small surface-breaking fatigue cracks in aluminium 2024-T3 by ultrasonic methods Sonat, Ferhat; Sarıoğlu, Filiz; Gür, Hakan; Department of Metallurgical and Materials Engineering (2003)
Detection of the mm-wave radiation using a low-cost LWIR microbolometer camera from a multiplied Schottky diode based source Kebapci, Basak; Tankut, Firat; Altan, Hakan; Akın, Tayfun (2015-09-22) This paper presents the measurement and analysis method for detection of the mm-wave signal at 96 GHz, by using a low-cost microbolometer infrared (IR) camera with 70 mu m pixel-pitch optimized for detection in the 8-12 mu m (LWIR) range. The mm-wave beam derived from a multiplied Schottky diode based source is detected within similar to 65 % of the whole area of a 160x120 pixel focal plane array microbolometer sensor. Under similar to 73 mW incident power, responsivity is measured as 7.3 V/W, and the avera...
Detection and object-based classification of offshore oil slicks using ENVISAT-ASAR images AKAR, Sertac; Süzen, Mehmet Lütfi; Kaymakcı, Nuretdin (Springer Science and Business Media LLC, 2011-12-01) The aim of this study is to propose and test a multi-level methodology for detection of oil slicks in ENVISAT Advanced Synthetic Aperture Radar (ASAR) imagery, which can be used to support the identification of hydrocarbon seeps. We selected Andrusov Ridge in the Central Black Sea as the test study area where extensive hydrocarbon seepages were known to occur continuously. Hydrocarbon seepage from tectonic or stratigraphic origin at the sea floor causes oily gas plumes to rise up to the sea surface and form...
Detection of bladder tumor recurrence by fourier transform infrared spectroscopy as a novel method Aydın, Özge Zelal; Severcan, Feride; Department of Biology (2009) Bladder cancer is one of the most common urogenital cancers worldwide. Two techniques commonly used for bladder cancer diagnosis are urine cytology and cystoscopy. Cytology is not sensitive for detecting tumors. Cystoscopy is an invasive technique which disturbs patient comfort. In the current study, we used Fourier transform infrared (FT-IR) spectroscopy as a novel method which is rapid and non-invasive to investigate the bladder tumor recurrence using the bladder wash samples collected in the course of co...

Citation Formats

S. Dinc et al., “Detection and Recognition of Buried Conducting Objects Using Subsurface Microwave Images Constructed by Down-Looking GPR Measurements and by Energy-Based Target Features,” Lisbon, Portekiz, 2019, p. 24, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/81369.