| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_e61dd9097ef0c42d9e8c1fd4e1d1ec3c |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-13
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-253
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 |
| filingDate |
2019-08-30^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_28e7ad43e1b79aa5cd64b687d86526f1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_06b74b24d123f5d89e053e836e5de98c
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a46c3d5a8afd124fb8e40a75cf0ca8f1
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_03a5f2ef88621d38755e466ec4095cab
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e50fe91dd1804263529b16903a1289da
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d3fd89858ffa31a0031d9a11f1434121 |
| publicationDate |
2019-11-29^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-110516754-A |
| titleOfInvention |
A hyperspectral image classification method based on multi-scale superpixel segmentation |
| abstract |
The invention discloses a hyperspectral image classification method based on multi-scale superpixel segmentation, comprising: setting a multi-scale processing framework model, and using a simple linear iterative clustering algorithm to segment superpixels to obtain a superpixel segmentation image set; Perform spectral-spatial feature fusion of the original image and the superpixel segmentation image set to obtain multiple sets of fused images; use the support vector machine to classify each set of fused images to obtain a classified image set; use the main voting method to classify the classification results of the classified image set. Decision fusion gets the final classification result. As a classification model that fuses spectral-spatial information, this method can effectively solve the problem of uneven distribution of category accuracy caused by a single segmentation scale, and has important application value in the fine classification of hyperspectral images. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112767376-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023000160-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113516194-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113240689-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113516194-A |
| priorityDate |
2019-08-30^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |