http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112926380-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_d6a6f422b091ba12ea61d4adbf1b0e8e |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-30 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-044 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-24 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-253 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate | 2021-01-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_465a8a4b4fd28cb6b5f54e2f04ebb19e http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_020b4abffbf39d7fa791abb205c43a28 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_7c73a936e6d800f60f50cf74e418651d http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_0daa803118215a57058814e9b0acc00a http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_cbaa7d2b3ef0f4525a3821bd1d869066 |
| publicationDate | 2021-06-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-112926380-A |
| titleOfInvention | A Novel Underwater Laser Target Intelligent Recognition System |
| abstract | The invention discloses a novel underwater laser target intelligent recognition system, which comprises an underwater laser radar, a three-dimensional sample library, a two-dimensional image database and an underwater laser target recognition host computer system. The computer system consists of a sample distributed image generation module, a feature extraction module, a convolutional attention module, a feature selection module, a feature fusion module, a decision module, and an output and display module. And an algorithm for target recognition from underwater three-dimensional samples is proposed. The beneficial effects of the invention are mainly manifested in that multiple images are extracted from three-dimensional samples and effective feature extraction is performed, moving targets in turbid waters can be recognized, the recognition accuracy is high, and the degree of intelligence is high, and at the same time, it solves the problem of the traditional underwater laser recognition system. The ubiquitous problems such as feature loss when three-dimensional samples are converted into two-dimensional images, large noise in turbid water images, and small number of moving objects in the recognition of moving targets are difficult. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-115841614-A |
| priorityDate | 2021-01-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 29.