http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-103714344-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-32 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2013-12-19-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2017-02-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2017-02-08-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-103714344-B |
| titleOfInvention | Geometrical component and radial gradient angle-based aircraft remote sensing detection method |
| abstract | The invention discloses a geometrical component and radial gradient angle-based aircraft remote sensing detection method. The method includes the following steps that: a geometric atomic library is established according to special geometric contours for an aircraft; based on a sparse representation principle, a known aircraft contour is sparsely represented as a combination of geometric atoms; an aircraft star-type component model is constructed with the geometric atoms adopted as components; a sliding window method is adopted to scan a test image; the principal direction of each image block is estimated through a radial-gradient angle voting algorithm, such that the direction of the component model can be adjusted; a total similarity distribution diagram of each position is calculated through using the adjusted model; and whether the aircraft exists in a detected area is judged through maximum posteriori probability reasoning, and the position of the aircraft can be further obtained. According to the geometrical component and radial gradient angle-based aircraft remote sensing detection method, the sparse representation principle is utilized to adaptively select the geometric components, and the principal directions are estimated through the radial-gradient angle voting algorithm which adopts the contours as guidance, and therefore, aircraft remote sensing detection at different directions in a complex background can be realized. The geometrical component and radial gradient angle-based aircraft remote sensing detection method is advantageous in simple algorithm, fast detection speed, better robust and more accurate detection results. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107563440-A |
| priorityDate | 2013-12-19-04:00^^<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/SID426383644 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID12310056 |
Total number of triples: 13.