| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_85e92135fff170031a15dda74540a0a8 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-30
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-00 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-25
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-40 |
| filingDate |
2020-04-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_452f136c3ededa7106e75b8b47cf31f3
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_8645e17d0f3ed4fc494795aae28b8f72
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7e30c8d10ecadae22e9cd1f748fa0e63
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d74e2ea2fa1b4e9b9d316d6877a0a6fe |
| publicationDate |
2020-08-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-111563420-A |
| titleOfInvention |
Multispectral detection method of oil spill in sea surface solar flare area based on convolutional neural network |
| abstract |
The invention provides a multispectral detection method for oil spills in a solar flare area on a sea surface based on a convolutional neural network. The detection method includes: performing denoising processing on multispectral data of an oil film image in the solar flare area on the sea surface to obtain denoised data; The denoising data is converted into a two-dimensional spectral matrix; the two-dimensional spectral matrix is used as input data, and is input into a convolutional neural network; feature extraction and classification are performed by using the convolutional neural network, and a classification result is output. The present invention realizes the extraction of oil film in the sea surface solar flare area by constructing a convolutional neural network (CNN)-based oil spill extraction model in the sea surface solar flare area. The characteristics of local connection and weight sharing of convolutional neural network enable it to automatically mine the deep information of oil spill images, learn more essential features, and obtain the best classification accuracy. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114539586-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114539586-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116206221-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-116206221-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114863293-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112558187-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112558187-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114511790-A |
| priorityDate |
2020-04-16-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |