http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108510532-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30181 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10044 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/G06T2207-10024 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-33 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-33 |
| filingDate | 2018-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-07-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-07-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108510532-B |
| titleOfInvention | Optical and SAR image registration method based on deep convolutional GAN |
| abstract | The invention discloses an optical and SAR image registration method based on deep convolution GAN. network, using cross iteration strategy to train feature extraction and matching network, predict matching relationship, remove mismatched points, calculate geometric transformation matrix, and register images; the invention overcomes the shortage of neural network training sample data in the prior art, single sample and extraction It effectively improves the robustness of heterologous image registration and achieves higher-precision registration for SAR and optical images. |
| priorityDate | 2018-03-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 22.