http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-114612779-A
Outgoing Links
Predicate | Object |
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assignee | http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_f7ecd176665fc4946bb1f6516d15cce1 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-241 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-25 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-002 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-008 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-80 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V20-10 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06V10-764 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-11 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 |
filingDate | 2022-03-14^^<http://www.w3.org/2001/XMLSchema#date> |
inventor | http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_22c4272e25f294d19591fabc219a52f0 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_443fdf274f8092ffea046a1bb5698ab6 http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_54ead37414694e04606d6ae50fcc106e |
publicationDate | 2022-06-10^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-114612779-A |
titleOfInvention | A geological and mineral exploration method based on spatiotemporal big data analysis |
abstract | The invention discloses a geological and mineral prospecting method based on spatiotemporal big data analysis, comprising the following steps: obtaining original satellite remote sensing images, obtaining basic unit distribution of the remote sensing images, classifying the land cover types of the remote sensing images hierarchically, and obtaining a distribution map of mineral resources and obtain mineral resources survey map and conduct geological mineral survey; the present invention obtains original satellite remote sensing image by collecting satellite remote sensing data of the area to be surveyed, obtains original satellite remote sensing image based on spatiotemporal big data, and performs image preprocessing on the original satellite remote sensing image , improve the image quality, and bring effective help to the geological and mineral exploration work. By classifying the land cover types of remote sensing images from coarse to fine, and supplementary confirmation and correction of the classification results, the distribution map of mineral resources can be enriched. Comprehensive, thus to a certain extent, the geological and mineral exploration and prospecting technology can be effectively improved, so that the accuracy and efficiency of prospecting can be greatly improved. |
priorityDate | 2022-03-14^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
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