http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109389163-A

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Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_cc4e13141d402ceb885f368dfa042348
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-23213
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
filingDate 2018-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a05c7065c849e4692e98026aa8bf1c53
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_24897f8c1af11f5c58cce1254e4c4e5d
publicationDate 2019-02-26-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-109389163-A
titleOfInvention A UAV image classification system and method based on topographic map
abstract The invention discloses an unmanned aerial vehicle image classification system and method based on a topographic map, comprising an image preprocessing module, which is used for preprocessing the unmanned aerial vehicle image and a reference topographic map to obtain an orthophoto image and a grid of a research area to be classified. The reference land use distribution map in grid form; the data reading module is used to read the orthoimage to be classified and the reference land use distribution map; the image segmentation module is used to input the orthoimage to be classified and the reference land use distribution map Data, output image segmentation results in grid form; image information extraction module, based on image segmentation results, using K-means clustering algorithm and SVM supervised classification method to complete the screening of training samples and spot classification; image output module, used for output classification result. The invention has the functions of automatically completing image segmentation and post-processing, sample screening, defining category rules, and information extraction, and provides a data source for the calculation of relevant indicators of land use status in the stage of urban planning information collection.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113822900-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11688174-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113822900-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114821272-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111090764-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111444824-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111090764-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112183209-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2021326604-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114820390-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113780086-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114820390-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114162318-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113780086-B
priorityDate 2018-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 29.