Optical remote sensing image target detection method based on geometric structure double-path convolutional network
An optical remote sensing image and geometric structure technology, applied in the field of image recognition, can solve the problems of insensitive target boundary and low positioning accuracy, and achieve the effect of strengthening the response and improving the positioning accuracy.
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[0051] The invention provides an optical remote sensing image target detection method based on a geometric structure two-way convolutional network, constructing a training data set; constructing a test data set; constructing a target detection model based on a geometric structure two-way convolutional network: a geometric structure two-way The convolutional network consists of a geometric structure area convolution network based on the DoG ridge wave kernel function and a convolutional network based on a random convolution kernel. The former only operates on the geometric structure area of the image, and the geometric structure area is obtained through the initial sketch, which is the image The area with a sudden change in brightness often implies the shape information of the target; train the target detection model; input the test data set to the target detection model; output the detection result. The invention can improve the sensitivity of the convolutional network to t...
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