| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_c85ddebe82cec2fa506f0ef303488c93 |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-58
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10032 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2321
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-2135
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-211
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F17-16
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V10-50
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06F17-16 |
| filingDate |
2019-05-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_2f56cbc55837c66f1114af6305186551
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_be83e9a707d6197d9935b2e3995f0dec
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_20317186a02460bf2cb0297bb87ce1f0
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_256a2fd30ff228e9156c1c843236f6dc
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_a797990cd1aa9575d3e0188a1dd9d414 |
| publicationDate |
2019-09-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
CN-110276746-A |
| titleOfInvention |
A Robust Remote Sensing Image Change Detection Method |
| abstract |
The invention discloses a robust remote sensing image change detection method, comprising the following steps: collecting and obtaining image information of two time phases in a target area; preprocessing the remote sensing images of the two time phases to obtain image features; The image features are selected and screened; the PCA algorithm is used to reduce the feature dimension, and the final optimal feature change vector is obtained; the NR-Kmeans method is used to classify and obtain the change detection result. The invention improves the traditional kmeans clustering algorithm, and has higher detection precision and high accuracy. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111091054-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-112329565-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111931744-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114066876-B
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114066876-A
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-111091054-B |
| priorityDate |
2019-05-28-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |