Remote sensing image weak and small target fusion multi-level feature target detection method
A technology for weak and small targets and remote sensing images, applied in the fields of computer vision and machine learning, can solve the problems of low detection accuracy and achieve the effect of overcoming low detection accuracy and improving recall and precision
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[0027] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0028] The invention is a fusion multi-level feature target detection method for weak and small targets in remote sensing images. The weak and small target detection method is based on convolutional neural network and multi-level features of weak and small targets in remote sensing images, and performs target image features layer by layer through convolutional neural network. Extraction, cross-level channel feature fusion, position attention mechanism feature aggregation, and dual-branch feature map prediction form an end-to-end target detection network to improve the detection accuracy of weak and small targets in remote sensing images. The process is as follows figure 1 shown. The invention can accurately detect weak and small targets in remote sensing images, and effectively improves the recall rate and precision rate of detecting weak and small...
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