http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107220677-A

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_17a5d0ab8281d96941ff5e2a4e4fb789
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2017-06-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cf9218b81ac8fe5f8e02006332f1520c
publicationDate 2017-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-107220677-A
titleOfInvention An Accurate Hyperspectral Image Data Classification System
abstract The present invention provides a hyperspectral image data classification system with accurate classification, including a modeling module, a classification module and an evaluation module, the modeling module uses a vector model to represent hyperspectral image data, and the classification module is used for hyperspectral The image data is classified, and the evaluation module is used to evaluate the classification results; the vector model is used to represent the reflection values of each pixel in the hyperspectral data corresponding to multiple bands as a vector in multidimensional space; The classification module includes a first classification unit, a second classification unit and a third classification unit, the first classification unit is used for preliminary classification of hyperspectral image data, and the second classification unit is used for hyperspectral image data. Secondary classification, the third classification unit is used for final classification of the hyperspectral image data. The beneficial effects of the invention are: the classification of hyperspectral image data and the evaluation of classification results are realized.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2019154262-A1
priorityDate 2017-06-28-04:00^^<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/CID3001055
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419580923

Total number of triples: 14.