| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ca46be4e68fa1f5a8b2ef4ab654c490a |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20192
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10048 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-4046
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T3-4053
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-001
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T3-40 |
| filingDate |
2019-12-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d9da4e77b363e7802878e3a547645e7e
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ed2803c21f8a414fc8023148f875b544
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_31873edf2e0d49a27e1eb7e2e4bb543c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f280abc1701b25bbd0242b1b99007d87
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_3496124a29078db96fa05ce0a84a8771
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6de332390016090697ad1ad36f26b02f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_232eb220d4a76af54f02bb1057abfb37 |
| publicationDate |
2020-05-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-111192197-A |
| titleOfInvention |
Mid-wave infrared multispectral imaging method and device based on vortex light source wavelength conversion |
| abstract |
The invention discloses a mid-wave infrared multi-spectral imaging method and device based on wavelength conversion of a vortex light source. The original mid-wave infrared spectral image is subjected to spectral splitting to obtain mid-wave infrared spectral images of different spectral channels; The mid-wave infrared spectral image is converted into a near-infrared spectral image; the near-infrared spectral image is encoded by a coding template based on a random Gaussian matrix to obtain a spectral image; the spectral image is obtained from the spectral image through the principle of compressed sensing Restore the original mid-wave infrared spectral image; perform super-resolution reconstruction on the restored original mid-wave infrared spectral image W P×Q×l through the deep learning-based FSRCNN network to obtain high-quality near-infrared images with target mid-wave characteristics Spectral image WNP×NQ×l . The invention uses the algorithm based on deep learning to reconstruct and super-score the spectrum, reduces the pressure of data transmission and storage, and can obtain spectral images with higher resolution and signal-to-noise ratio. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113363793-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113363793-B |
| priorityDate |
2019-12-26-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |