Landslide detection method based on double-flow feature extraction network, unmanned aerial vehicle and medium
The embodiment of the invention discloses a landslide detection method based on a double-flow feature extraction network, an unmanned aerial vehicle and a medium. The method comprises the following steps: determining an inspection area comprising a plurality of inspection nodes; determining a target...
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| creator | ZHAI YIKUI JIANG ZIYI LI QING LIAO JINRUI LI WENBA LI YUQI LIAO JIELING WANG WENQI DENG PEIHUA |
| description | The embodiment of the invention discloses a landslide detection method based on a double-flow feature extraction network, an unmanned aerial vehicle and a medium. The method comprises the following steps: determining an inspection area comprising a plurality of inspection nodes; determining a target inspection path according to the plurality of inspection nodes; routing inspection is performed according to the target routing inspection path and a to-be-detected image is shot; inputting the to-be-detected image into a pre-trained double-flow feature extraction network model for feature extraction to obtain a landslide boundary feature map and a mountain feature map; performing multi-scale fusion processing on the landslide boundary feature map and the mountain feature map to obtain a target feature map; determining the vegetation coverage rate of the inspection area according to the target feature map; rainfall information is obtained, and a landslide detection result is determined according to the rainfall in |
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The method comprises the following steps: determining an inspection area comprising a plurality of inspection nodes; determining a target inspection path according to the plurality of inspection nodes; routing inspection is performed according to the target routing inspection path and a to-be-detected image is shot; inputting the to-be-detected image into a pre-trained double-flow feature extraction network model for feature extraction to obtain a landslide boundary feature map and a mountain feature map; performing multi-scale fusion processing on the landslide boundary feature map and the mountain feature map to obtain a target feature map; determining the vegetation coverage rate of the inspection area according to the target feature map; rainfall information is obtained, and a landslide detection result is determined according to the rainfall in</abstract><oa>free_for_read</oa></addata></record> |
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| title | Landslide detection method based on double-flow feature extraction network, unmanned aerial vehicle and medium |
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