Unmanned ship island identification method and device, electronic equipment and storage medium

The invention discloses an unmanned ship island identification method and device, electronic equipment and a storage medium, and the method comprises the steps: constructing a convolution layer containing a 1 * 1 convolution kernel, a pooling layer based on a maximum pooling resampler with the size...

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Hauptverfasser: XU FENGCHI, LI ZHE, HUO DIAN, YANG BO, CHEN ZHUO, SONG SHENGNAN, BAI GAOYI, ZENG JIANGFENG, HAN WEI, MO SHAOXIONG, WU JIANYU
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses an unmanned ship island identification method and device, electronic equipment and a storage medium, and the method comprises the steps: constructing a convolution layer containing a 1 * 1 convolution kernel, a pooling layer based on a maximum pooling resampler with the size of a 2 * 2 window, and an improved deep convolution neural network based on a softmax classifier; training and verifying the improved deep convolutional neural network based on a training data set and a verification data set; and based on the improved deep convolutional neural network after training and verification, unmanned ship island identification is realized. According to the invention, a solution is provided for the specific water navigation task of the unmanned ship, through case testing, the method meets the actual engineering application performance requirements, solves the problems of long time and the like of a traditional algorithm, and can achieve the efficient, accurate and rapid recognition of the i