Remote sensing ship contour segmentation and detection method based on deep learning full convolution network (FCN)
A technology of deep learning and target contour, applied in biological neural network models, image analysis, image data processing, etc., can solve the problems of high false alarm rate and low detection accuracy, achieve the goal of streamlining redundant processes and overcoming edge effects Effect
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[0039] The specific embodiments of the present invention will be described below in conjunction with the accompanying drawings, so that those skilled in the art can better understand the present invention. It should be particularly noted that in the following description, when detailed descriptions of known functions and designs may dilute the main content of the present invention, these descriptions will be omitted here.
[0040] figure 1 It is a functional block diagram of a specific implementation of the remote sensing ship target detection method based on the deep learning FCN network of the present invention.
[0041] In this embodiment, as figure 1 The remote sensing ship target contour segmentation and detection method based on deep learning FCN network shown includes the following steps:
[0042] 1. Data preparation
[0043] Data preparation includes the establishment of a remote sensing detection target database and the labeling of remote sensing ship targets. In this embodim...
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