http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109523510-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20221 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10032 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0002 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00 |
| filingDate | 2018-10-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-05-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-05-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109523510-B |
| titleOfInvention | Method for detecting abnormal region of river channel water quality space based on multispectral remote sensing image |
| abstract | The invention discloses a method for detecting an abnormal area of river water quality space based on a multispectral remote sensing image, and belongs to the field of water quality safety monitoring. The method is based on multispectral remote sensing images, uses a two-dimensional sliding window and a double-threshold anomaly detection algorithm based on multivariate Gaussian distribution to detect spatial anomalies of the river water quality, and comprises the steps of preprocessing, anomaly detection, morphological post-processing and the like. The preprocessing part corrects the original image data and extracts a water body part as a research object to prepare data for subsequent detection; the anomaly detection part detects a water quality space anomaly region in the river channel by using a two-dimensional sliding window and a double-threshold anomaly detection algorithm based on multivariate Gaussian distribution; and the post-processing part processes the detection result by using a morphological method and outputs a water quality abnormal area. The method comprehensively utilizes the spectral information and the spatial information of the multispectral remote sensing image, and has a good detection effect on the common abnormalities of silt, wastewater, eutrophication and the like in the river channel. |
| priorityDate | 2018-10-11-04:00^^<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/compound/CID962 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419512635 |
Total number of triples: 15.