http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114266987-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A10-40
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/E02D33-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-762
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-17
filingDate 2022-03-03^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-05-20^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-05-20^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-114266987-B
titleOfInvention Intelligent identification method for high slope dangerous rock mass of unmanned aerial vehicle
abstract The invention relates to an intelligent identification method for high slope dangerous rock mass of an unmanned aerial vehicle, which relates to the technical field of image processing and comprises the following steps of constructing an unmanned aerial vehicle air route, shooting the high slope dangerous rock mass through the flight of the unmanned aerial vehicle, and shooting the high slope dangerous rock mass from left to right and from top to bottom in sequence; importing photos shot by an unmanned aerial vehicle into a computer and acquiring point cloud data of dangerous rock masses; preprocessing the point cloud data to reduce the data volume and smooth the point cloud, and then extracting ground point cloud from the de-noised point cloud by utilizing a seed point filtering algorithm or a quasi-slope filtering algorithm; the method has the advantages of efficiently, automatically and accurately extracting isolated dangerous rock data.
priorityDate 2022-03-03^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5352426
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419524915

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