Target space knowledge and two-stage prediction learning-based target detection method
A target detection and target technology, applied in the field of optical remote sensing image processing
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[0114] Experimental conditions and methods:
[0115] The hardware platform is: Titan X 12GB, 64GB RAM;
[0116] The software platform is: Ubuntu16.04.2, Caffe;
[0117] Experimental method: respectively the existing SSD target detection method and the method of the present invention
[0118] Simulation content and results:
[0119] In the simulation experiment, according to the given real marks on the data set, 80% of the targets are randomly selected as the training set, and the remaining 20% of the targets are used as the test set, and the detection rate and false alarm rate are calculated as evaluation indicators.
[0120] The evaluation results are shown in Table 2, wherein, Alg1 is the method of SSD, and Alg2 is the method of the present invention.
[0121] Table 2. The present invention and comparison method obtain the detection rate and the false alarm rate of various targets in the simulation experiment
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[0123]
[0124] Analysis of results:
[01...
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