http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-108764136-A

Outgoing Links

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_604f2571096f00adeeb8631feb1d295f
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-40
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-214
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-176
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
filingDate 2018-05-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a18af3623ec60d72af5df11e136693a8
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_571a3e58de1199dd92b442977382aa1d
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_22bcd77ea7b139856e9f62b8276ab55e
publicationDate 2018-11-06-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-108764136-A
titleOfInvention A Method for Recognizing Buildings in High Resolution Remote Sensing Images
abstract The invention discloses a method for identifying buildings in high-resolution remote sensing images. By establishing a location heterogeneity processor, the heterogeneity of a location in the image and another location within a certain neighborhood can be analyzed, and then passed Establish a pixel regularity filter to extract the key features of the pixel, and judge whether each pixel in the image belongs to a building based on the training data, so as to realize the extraction of the building from the high-precision high-resolution remote sensing image extract. The invention can realize high-precision building extraction by inputting a sample set including buildings and non-buildings under the condition of high resolution of remote sensing images.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112348951-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112348951-B
priorityDate 2018-05-29-04:00^^<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: 21.