http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111652289-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30184 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-82 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 |
| filingDate | 2020-05-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2023-01-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2023-01-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-111652289-B |
| titleOfInvention | Segmentation method of sea ice and seawater in synthetic aperture radar images |
| abstract | The invention provides a method for segmenting sea ice and sea water of a synthetic aperture radar (SAR) image, comprising: preprocessing synthetic aperture radar cross and co-polarization remote sensing data; using HV polarization, The difference between HV polarization and HH polarization, and the ratio of HV polarization and HH polarization are three sets of data to synthesize three-channel remote sensing images; select three-channel remote sensing images in different seasons and different marine environmental conditions for manual labeling of sea ice and seawater ranges , and enhance the marked image to generate a training sample set; use the training sample data generated in the above steps as input to complete the training of the deep learning model, and obtain the automatic segmentation model of sea ice and sea water; and subsequently obtain the sea ice The preliminary results of the identification of sea ice and sea water and the steps of finally obtaining the image of sea ice and sea water segmentation. This application makes full use of the response difference between seawater and sea ice in different SAR polarization images, and can fully automate the segmentation of sea ice and seawater. |
| priorityDate | 2020-05-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID962 |
Total number of triples: 25.