Underwater target detection with hyperspectral imagery for search and rescue operations

Download

index.pdf

Date

2017

Author

Eken, İsa Cem

Metadata

Show full item record

Item Usage Stats

201
views

373
downloads

Fast and precise target detection is an issue in underwater object detection applications such as search and rescue, mine detection, archeological remains, etc. Hyperspectral imaging could be effective in determining different components in a selected region thanks to its ability to provide detailed spectral information. The detection of underwater objects with their above-water reflectance signature may not be efficient because of the reflectance changes due to water column. The detection should be conducted with the reflectance signature affected by the water column. To simulate object reflectance under a specific water column, water column correction algorithms can be taken into consideration. Once underwater spectral reflectance is obtained, their effect on the detection performance can be observed. In this thesis, the effect of water column to an object reflectance is investigated. The water column correction algorithms are utilized to create underwater object spectrum from above-water object reflectance. The effect of underwater target spectrum to object detection is also investigated. The materials used for the study are related to search and rescue operations to be evaluated according to their capability of detection in such scenarios. To increase reaction speed in search and rescue operations, the algorithms used for water column correction and target detection are applied to each material to evaluate the optimum water column correction – target detection algorithm pair for material types.

Subject Keywords

Underwater photography., Hyperspectral imaging.

URI

http://etd.lib.metu.edu.tr/upload/12621738/index.pdf
https://hdl.handle.net/11511/27032

Collections

Graduate School of Informatics, Thesis

Suggestions

OpenMETU
Core

Underwater target detection with hyperspectral imagery for search and rescue missions Eken, Isa Cem; Çetin, Yasemin (2018-04-19) Fast and precise target detection is an issue in underwater object detection applications such as search and rescue missions. Hyperspectral imaging could be effective in determining different elements in a region thanks to its ability to provide detailed spectral information. Utilization of this rich spectral information calls for the analysis of spectral differences of objects on water surface (dry/wet) and underwater conditions. In our study, we investigated the effect of water column to the target spectr...
Absorbance Estimation and Gas Emissions Detection in Hyperspectral Imagery Başkurt, Nur Didem; Gur, Yusuf; Omruuzun, Fatih; Çetin, Yasemin (2016-05-19) Hyperspectral imaging in gas detection applications is a leading and widely studied research topic thanks to its high spectral resolution and remote detection ability. The main problems in these applications covers the leakage detection, gas identification, and quantification. The proposed algorithm aims to reach the transmittance and absorbance features of the gas and to detect the gaseous region by using the measured radiance data from the hyperspectral infrared sensors.
Visual detection and tracking of moving objects Ergezer, Hamza; Leblebicioğlu, Mehmet Kemal (2007-06-13) In this paper, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Running average method has been used to detect the moving objects in the video, which is taken from a static camera. Tracking of foreground objects has been realized by using a Kalman filter. After background subtraction, morphological operators are used to remove noises detected as foreground. Active contour models (snakes) are the segmentation tools for the extracted fo...
Applying data mining techniques to detect abnormal flight characteristics ASLANER, H. Emre; UNAL, Cagri; İyigün, Cem (2016-04-20) This paper targets to highlight flight safety issues by applying data mining techniques to recorded flight data and proactively detecting abnormalities in certain flight phases. For this purpose, a result oriented method is offered which facilitates the process of post flight data analysis. In the first part of the study, a common time period of flight is defined and critical flight parameters are selected to be analyzed. Then the similarities of the flight parameters in time series basis are calculated for...
Airborne laser scanning data for snow covered biomass estimation Vazirabad, Yashar Fallah; Karslıoğlu, Mahmut Onur (SPIE-Intl Soc Optical Eng, 2009-04-13) Airborne laser scanning provides reliable terrain data in terms of 3D coordinates. High resolutions Digital Terrain Models (DTM) are in use for many applications, including change detection of surfaces. Also the estimation of the snow depth by making use of Airborne Laser Scanning (ALS) data acquired in summer and winter is a subject of current investigations. However estimating snow depth seems problematic in vegetation covered areas. This work focuses on the investigation of the snow depth estimation usin...

Citation Formats

İ. C. Eken, “Underwater target detection with hyperspectral imagery for search and rescue operations,” M.S. - Master of Science, Middle East Technical University, 2017.