Hydrocarbon microseepage mapping using signature based target detection techniques

Hilal Soydan; Alper Koz; H. Şebnem Düzgün; A. Aydin Alatan

doi:10.1117/12.2195105

20 October 2015 Hydrocarbon microseepage mapping using signature based target detection techniques

Hilal Soydan, Alper Koz, H. Şebnem Düzgün, A. Aydin Alatan

Proceedings Volume 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI; 96440I (2015) https://doi.org/10.1117/12.2195105
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

In this paper, we compare the conventional methods in hydrocarbon seepage anomalies with the signature based detection algorithms. The Crosta technique [1] is selected as a basement in the experimental comparisons for the conventional approach. The Crosta technique utilizes the characteristic bands of the searched target for principal component transformation in order to determine the components characterizing the target in interest. Desired Target Detection and Classification Algorithm (DTDCA), Spectral Matched Filter (SMF), and Normalized Correlation (NC) are employed for signature based target detection. Signature based target detection algorithms are applied to the whole spectrum benefiting from the information stored in all spectral bands. The selected methods are applied to a multispectral Advanced SpaceBorne Thermal Emission and Radiometer (ASTER) image of the study region, with an atmospheric correction prior to the realization of the algorithms. ASTER provides multispectral bands covering visible, short wave, and thermal infrared region, which serves as a useful tool for the interpretation of the areas with hydrocarbon anomalies. The exploration area is selected as Gemrik Anticline which is located in South East Anatolia, Adıyaman, Bozova Oil Field, where microseeps can be observed with almost no vegetation cover. The spectral signatures collected with Analytical Spectral Devices Inc. (ASD) spectrometer from the reference valley [2] have been utilized as an input to the signature based detection algorithms. The experiments have indicated that DTDCA and MF outperforms the Crosta technique by locating the microseepage patterns along the mitigation pathways with a better contrast. On the other hand, NC has not been able to map the searched target with a visible distinction. It is concluded that the signature based algorithms can be more effective than the conventional methods for the detection of microseepage induced anomalies.

Citation Download Citation

Hilal Soydan, Alper Koz, H. Şebnem Düzgün, and A. Aydin Alatan "Hydrocarbon microseepage mapping using signature based target detection techniques", Proc. SPIE 9644, Earth Resources and Environmental Remote Sensing/GIS Applications VI, 96440I (20 October 2015); https://doi.org/10.1117/12.2195105

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available