http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110175638-B
Outgoing Links
Predicate | Object |
---|---|
classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N2015-0693 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N15-06 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N15-06 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
filingDate | 2019-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2021-04-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2021-04-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-110175638-B |
titleOfInvention | A kind of dust source monitoring method |
abstract | The present application discloses a method for monitoring fugitive dust sources, comprising: processing medium-resolution satellite image data of a monitoring area to obtain data products of multiple bands with a spatial resolution of 10 meters; establishing spatial resolutions in the multiple bands is a 10-meter sample set containing the dust source satellite image; input the sample set as a feature vector to the support vector machine to determine the parameters of the support vector machine algorithm; input the multiple band data products into the support vector machine algorithm, output Each pixel is the confidence level of the dust source; select all pixels whose confidence level is above the threshold. The application can realize timely and accurate tracking, high-reliability display and monitoring of changes in the dust source. |
priorityDate | 2019-05-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 17.