Aerial camera could obtain the ground target image information, and the target recognition could be carried through the image preprocessing and interpretation. In the process of image interpretation, under the precondition of massive images, if the interpretation member recognition was used only, the interpretation process will be complicated, time-consuming and the man-made errors will also be increased gradually. Based on this situation the SIFT method was used in the paper and the target in image received from aerial camera were got feature extraction, the feature points were obtained and it were contrast to the target feature points of standard target in the library which were set up in advance, so the accurate interpretation of aviation image target could achieved, so a kind of effective interpretation identification method for correct aviation image target recognition was proposed.
Through carrying a variety of imaging sensors, the unmanned aerial vehicle began to show its flexibility and importance, image fusion technology becomes more and more indispensible. In this paper, the existing video fusion method and fusion performance evaluation method is analyzed, and an improved video fusion evaluation algorithm based on structure similarity was proposed. The simulation results were shown that the improved fusion performance evaluation method was better than the conventional method, and a method to solve the fusion performance evaluation problem was provided.
The whole wave band CCD system is widely used for examining purple outside , visible light , infrared picture high-resolution show and professional pattern process equipment in real time. It can visible light picture turn visible light picture into in real time , can realize faint collection and high-quality collection and processing of picture of signal under the low intensity of illumination situation, incorporate the verification of traces , file are examined , figure taking pictures and pattern process into an organic whole.
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