http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107203761-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-44 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-182 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate | 2017-06-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2019-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2019-09-17-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-107203761-B |
| titleOfInvention | Road Width Estimation Method Based on High Resolution Satellite Imagery |
| abstract | The invention discloses a road width estimation method based on high-resolution satellite images. According to the characteristics of roads in high-resolution satellite images, a novel road width descriptor is defined. By counting the pixels in a fixed-size road block distribution and expressed in the form of a histogram, which can describe the width characteristics of the road; on the basis of the road width descriptor, combined with the convolutional neural network, a road width estimation method based on the convolutional neural network is proposed; According to the width discontinuity problem of the road width, a road width estimation energy function based on spatial consistency is defined. By minimizing the energy function, a reasonable estimation of the road width category in satellite images can be achieved. |
| priorityDate | 2017-06-15-04:00^^<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/SID415713197 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID25572 |
Total number of triples: 16.