http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-105205807-B

Outgoing Links

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classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-751
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-33
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
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filingDate 2015-08-19-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2018-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2018-03-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-105205807-B
titleOfInvention Change Detection Method of Remote Sensing Image Based on Sparse Autoencoder
abstract The invention discloses a remote sensing image change detection method based on a sparse automatic encoding machine, mainly aiming at that in the prior art, there are many missing and wrongly detected pixels in the change detection results, and the direct processing of the difference map cannot use the difference map to imply information shortcomings. The implementation steps are: (1) read in the image; (2) construct the difference map; (3) train the sparse autoencoder; (4) extract features; (5) perform fuzzy clustering on the features; ; (7) output the change detection result. The invention first uses a sparse automatic coding machine to extract a difference map, and then uses the extracted features to detect changes in remote sensing images, thereby reducing the number of missing and false detections of pixels in the change detection results and improving the accuracy of change detection.
priorityDate 2015-08-19-04:00^^<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: 23.