http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110849821-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2021-3148
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-314
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-3577
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-3577
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-31
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25
filingDate 2019-11-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2022-03-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2022-03-22-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110849821-B
titleOfInvention Black and odorous water body remote sensing identification method based on Bayesian theorem
abstract The invention discloses a Bayesian theorem-based black and odorous water body remote sensing identification method, which comprises the following steps: s1, data acquisition and preprocessing; s2, analyzing spectral data; s3, selecting spectral characteristics; s4, acquiring basic probability; s5, selecting threshold values, obtaining the threshold values of the spectral characteristic indexes of the black and odorous water body based on Bayes theorem, and dividing the threshold values by an objective and standard method to provide scientific basis and technical support for monitoring the black and odorous water body.
priorityDate 2019-11-12-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

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isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID977
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http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6857397
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419523291
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962
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Total number of triples: 21.