Genetic algorithm for investigating flight MH370 in Indian Ocean using remotely sensed data

8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Marghany, Maged^1 ; Mansor, Shattri^1 ; Bin Mohamed Shariff, Abdul Rashid^1

Geospatial Information Science Research Centre, Faculty of Engineering University Putra Malaysia, Serdang, Selangor

43400 UPM, Malaysia^1

关键词: Automatic Detection;    Current patterns;    Multi objective;    Ocean surface currents;    Ocean surface topography missions;    Remotely sensed data;    Southern indian ocean;    Trajectory movements;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/37/1/012001/pdf
DOI  :  10.1088/1755-1315/37/1/012001

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This study utilized Genetic algorithm (GA) for automatic detection and simulation trajectory movements of flight MH370 debris. In doing so, the Ocean Surface Topography Mission(OSTM) on the Jason- 2 satellite have been used within 1 and half year covers data to simulate the pattern of Flight MH370 debris movements across the southern Indian Ocean. Further, multi-objectives evolutionary algorithm also used to discriminate uncertainty of flight MH370 imagined and detection. The study shows that the ocean surface current speed is 0.5 m/s. This current patterns have developed a large anticlockwise gyre over a water depth of 8,000 m. The multi-objectives evolutionary algorithm suggested that objects are existed on satellite data are not flight MH370 debris. In addition, multiobjectives evolutionary algorithm suggested that the difficulties to acquire the exact location of flight MH370 due to complicated hydrodynamic movements across the southern Indian Ocean.