Satellite remote sensing image multi-target detection method and device based on improved Cascade R-CNN model, computer program product and computer readable storage medium

The invention discloses a satellite remote sensing image multi-target detection method and device based on an improved Cascade R-CNN model, a computer program product and a computer readable storage medium. The method comprises the following steps of: 1, carrying out image preprocessing on a high-re...

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Hauptverfasser: XIE ZHULI, WANG LEI, WU RIHONG, LI JIANCUN, LI MENGWEI, XIE YONGHU
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a satellite remote sensing image multi-target detection method and device based on an improved Cascade R-CNN model, a computer program product and a computer readable storage medium. The method comprises the following steps of: 1, carrying out image preprocessing on a high-resolution satellite remote sensing image; 2, carrying out image global feature extraction on the preprocessed high-resolution satellite remote sensing image based on an improved feature extraction network; a third step of applying a sliding window mode on the generated global feature map, and generating a target candidate box through a region candidate network; 4, performing interpolation operation on the global feature map in the target candidate box to generate a candidate region global feature map with a fixed size; a fifth step of performing feature extraction on the global feature map of the candidate region based on the improved feature extraction network; and a sixth step of performing classification and regr