http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114120084-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_43b2659e07d0fb9f77820066701b56c0 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2135 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-254 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-77 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-80 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2021-10-21-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c3662371238cddde4ad2d69b4420ebe8 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cd34bb10e61cfb868a5ddb73aa75de18 |
| publicationDate | 2022-03-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114120084-A |
| titleOfInvention | A kind of hyperspectral image classification method, system and storage medium |
| abstract | The invention provides a hyperspectral image classification method, system and storage medium, and relates to the technical field of remote sensing image classification. The present invention uses superpixel segmentation and PCA to process the hyperspectral image, obtains a dimension-reduced hyperspectral image as spectral information, and filters the dimension-reduced hyperspectral image through a plurality of edge-preserving filters to obtain a plurality of filtered hyperspectral images. The image is used as spatial information, and then the hyperspectral image is classified by combining the spatial information and spectral information, making full use of the spectral information and spatial information of the hyperspectral image, and the classification accuracy is high, and this technical solution is different from the traditional global PCA for hyperspectral images. Instead, the hyperspectral image is divided into multiple uniform regions by superpixel segmentation, and then PCA processing is performed separately, which avoids the loss of image edge information and other independent components and ensures the classification accuracy. |
| priorityDate | 2021-10-21-04:00^^<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/SID419513094 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID28718 |
Total number of triples: 20.