http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109242015-A
Outgoing Links
| Predicate | Object |
|---|---|
| assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c094c8526b300120081f9f27c0ba8f7c |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-045 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-253 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2411 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-04 |
| filingDate | 2018-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6acdf967f92e9a885ade97881c795d88 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_fd2a146a859321eca0c1d4f04628090f http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_13b8f4cb9ba217e00b15840c3c4035ff http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_601f4a1683c3a3b380294c9569753007 |
| publicationDate | 2019-01-18-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109242015-A |
| titleOfInvention | Water area detection method and device based on visual monitoring of space-based platform |
| abstract | The invention discloses a water area detection method and device based on the visual monitoring of an air-based platform, and relates to the technical field of image processing. The apparatus includes an image collector, a CNN feature extractor, a brancher of atrous convolutional networks, a feature fuser, a classifier, and an area transformer. First, the convolutional neural network extracts the high-level semantic information in the image of the water area to be monitored, obtains the output feature map, and inputs it into the atrous convolutional network. Then, according to its edge information, the hyperspectral information of all pixels in each region is averaged to obtain the desired features of the region; the linear SVM classifier is used to train the model, the sample vectors of the desired features are classified, and finally the classification results are output to obtain Water area S. Calculate the real area of the water part according to the legend parameter gamma and the original water area S. The invention has strong robustness, and can monitor the change of the real area of the water area and predict natural disasters. |
| isCitedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111982031-B http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111982031-A |
| priorityDate | 2018-08-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Total number of triples: 26.