http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107403434-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10044
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-231
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-267
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-34
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11
filingDate 2017-07-28-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2019-08-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2019-08-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-107403434-B
titleOfInvention SAR Image Semantic Segmentation Method Based on Two-Stage Clustering
abstract The invention discloses a SAR image semantic segmentation method based on two-stage clustering, which mainly solves the problem of inaccurate segmentation of synthetic aperture radar SAR images in the prior art. The implementation steps are as follows: 1) Extract the sketch image according to the sketch model of the SAR image; 2) Regionalize the sketch image to obtain a region map, and divide the SAR image into a mixed aggregation structure object pixel subspace, a structure pixel subspace and a region map according to the region map. Homogeneous pixel subspace; 3) Design the directional statistical vector of the extremely heterogeneous region in the pixel subspace of mixed aggregate structure features; 4) Segment the mixed aggregate structure feature pixel subspace according to the direction statistical vector; 5) Segment the structure The pixel subspace and the homogeneous pixel subspace are segmented accordingly; 6) The segmentation results of the three subspaces are combined to obtain the final segmentation result of the SAR image. The invention can obtain good segmentation effect of SAR image, and can be used for target classification and image interpretation.
priorityDate 2017-07-28-04:00^^<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/substance/SID419580923
http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID3001055

Total number of triples: 17.