| Predicate |
Object |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30232
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/Y02A90-30 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2415
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-047
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01F23-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-194
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01F23-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-82
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-28
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-52
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-194 |
| filingDate |
2021-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate |
2022-07-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate |
2022-07-12-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-113819974-B |
| titleOfInvention |
A visual measurement method of river water level without water gauge |
| abstract |
The invention discloses a visual measurement method of river water level without a water ruler. The water edge area is selected on the section, and its size covers the water level variation; the PSPnet network based on deep learning is used to segment the selected water edge area, and a binary image with the river bank as the foreground and the water surface as the background is obtained; Project and search for the maximum gradient value to obtain the observed value of the ordinate of the waterline image point; iterative water level value based on the variable-height water surface photogrammetry model is used to calculate the ordinate of the waterline image point, and the difference between it and the observed value is less than the measurement accuracy as the iterative stop condition to obtain Approximate water level. The invention only needs to measure the topography of the flow section, without installing a water gauge and a marker, and has the advantages of simple layout, strong damage resistance and intuitive results. |
| priorityDate |
2021-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |