http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108710862-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-467 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-34 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-13 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-46 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-13 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-34 |
| filingDate | 2018-05-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-108710862-B |
| titleOfInvention | A high-resolution remote sensing image water extraction method |
| abstract | The invention discloses an effective high-resolution remote sensing image water body extraction method. First, given an original high-resolution remote sensing image, an algorithm based on local binary patterns and K-nearest neighbors is proposed to roughly separate water and land, and morphological processing is used to suppress noise points in the classified area. Next, a method based on LBP and support vector machine is designed to further subdivide the water-land boundary region, and use morphological filtering to remove noise points near the refined boundary region. Finally, for the refinement results, the edge of the water body is smoothed by the morphological erosion operation, and the final water body extraction result is obtained. The method proposed in the present invention adopts the strategy of "coarse classification + subdivision" to separate land and water, and the accuracy is higher; in addition, the present invention adopts two different classification methods, KNN and SVM respectively, which ensures the extraction efficiency on the one hand, and ensures the extraction efficiency on the other hand. On the one hand, it is suitable for the classification of pixels of different sizes, making the final classification result robust and effective. |
| priorityDate | 2018-05-24-04:00^^<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/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 22.