Gradient Compressive Sensing for Image Data Reduction in UAV based Search and Rescue in the Wild (CROSBI ID 232014)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Musić, Josip ; Orović, Irena ; Marasović, Tea ; Papić, Vladan ; Stanković, Srdjan
engleski
Gradient Compressive Sensing for Image Data Reduction in UAV based Search and Rescue in the Wild
Search and rescue operations usually require significant resources, personnel, equipment and time. In order to optimize the resources and expenses, and to increase the efficiency of operations, the use of unmanned aerial vehicles (UAV-s) and aerial photography is considered for fast reconnaissance of large and unreachable terrains. The images are then transmitted to control center for automatic processing and pattern recognition. Furthermore, due to the limited transmission capacities and significant battery consumption for recording high resolution images, in this paper we consider the use of smart acquisition strategy with decreased amount of image pixels following the compressive sensing paradigm. The images are completely reconstructed in the control center prior to the application of image processing for suspicious objects detection. The efficiency of this combined approach depends on the amount of acquired data, but also on the complexity of the scenery observed. The proposed approach is tested on various high resolution aerial images, while the achieved results are analyzed using different quality metrics and validation tests. Additionally, a user study is performed on the original images to provide the baseline object detection performance.
aerial photography ; compressive sensing ; image quality ; object recognition ; search and rescue ; UAV
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Podaci o izdanju
2016
2016.
6827414-1-6827414-14
objavljeno
1024-123X
10.1155/2016/6827414
Povezanost rada
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti