http://rdf.ncbi.nlm.nih.gov/pubchem/patent/KR-102245337-B1
Outgoing Links
Predicate | Object |
---|---|
assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0163def25dcc6e399474860f4e9572c4 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01N21-27 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01N21-27 |
filingDate | 2020-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2021-04-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_1713cf0364c788cccaeb8275540d2460 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_d7d2441840753d0f9bca0db90125a906 |
publicationDate | 2021-04-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | KR-102245337-B1 |
titleOfInvention | Learning method for classifying crop using weight parameter based on confusion matrix, method for classifying crop using the same, computer-readable recording medium for excuting the method, and crop classifying device |
abstract | A crop classification learning method applying weights based on an error matrix, a crop classification method using the same, a computer-readable recording medium recording a program for executing the method, and a crop classification apparatus are provided. The method for classifying crops includes receiving a plurality of viewpoint images each including a first viewpoint and a second viewpoint of a target object; Classification of reference data at the first and second viewpoints using an object detection-based deep learning model, and a probability-based first score vector for the first viewpoint and a probability-based second score for the second viewpoint Outputting a vector; Deriving a first error matrix and a second error matrix from the first score vector and the second score vector, respectively, the steps of: deriving a first error matrix and a second error matrix each having a matrix of M×M; Outputting and storing a first vector including M vectors having M elements from a first error matrix, , ,… , Outputting and storing a first vector consisting of; And outputting and storing a second vector including M vectors having M elements from the second error matrix, , ,… , And outputting and storing a second vector consisting of. |
priorityDate | 2020-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 27.