A satellite image offshore ship identification method based on Faster R-CNN

The invention provides a satellite image offshore ship identification method based on Faster R-CNN, which is characterized by comprising the following steps of: segmenting original satellite image data by using a satellite image segmentation algorithm based on target selection, adding a training sam...

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Hauptverfasser: CUI XIAOHUI, TAO QI, FU ZHONGWANG, NI MINYAO, YANG WEI, XU CHAO
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a satellite image offshore ship identification method based on Faster R-CNN, which is characterized by comprising the following steps of: segmenting original satellite image data by using a satellite image segmentation algorithm based on target selection, adding a training sample based on a generative adversarial network, and using the Faster R-CNN algorithm to establish a satellite image offshore ship training data set, and using the Faster R- CNN algorithm and a training data set to generate a satellite image offshore ship recognition model, establishing a latitude andlongitude matching mode, supporting accurate latitude and longitude matching based on the pixel and latitude and longitude mapping relation, and achieving recognition of an offshore ship in a satellite image. According to the invention, a practical offshore ship identification technical scheme is provided based on the satellite image, the processing speed is high, the precision is high, and one or more ship targets of di