http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114002165-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-15 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-15 |
| filingDate | 2021-10-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-08-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-08-30-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-114002165-B |
| titleOfInvention | A Copper Abundance Prediction Method Based on Copper Spectral Index Inversion |
| abstract | The invention discloses a copper element abundance prediction method based on copper element spectral index inversion. By acquiring samples of a target copper mining area, the optimal spectral index is determined in a preset spectral index set; and then the optimal spectral index is determined; Whether the optimal band corresponding to the optimal spectral index is within the preset interval, if so, establish a regression model through the optimal spectral index, and at the same time build an inversion function through the Hapke model, and use the regression model and the The inversion function is used to predict the abundance of copper elements; if not, an inversion function is constructed through the Hapke model, and the abundance of copper elements is predicted through the inversion function, wherein the spectral index set includes the reflectance spectral index, a The order derivative spectral index, the first simple ratio spectral index, the second simple ratio spectral index, the first normalized difference spectral index and the second normalized difference spectral index are universal and can quickly and accurately Predict the abundance of copper elements in the target copper mining area. |
| priorityDate | 2021-10-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 15.