http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110765885-A

Outgoing Links

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06V20-176
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classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-00
filingDate 2019-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f46a7b37c86d623076be9dfc374264fa
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_c06c35613f2fff612405420df2fdcf7e
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publicationDate 2020-02-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-110765885-A
titleOfInvention A method and device for detecting urban expansion based on remote sensing images of heterogeneous night light
abstract The present invention provides a method and device for detecting urban expansion based on remote sensing images of heterogeneous night light, including LJ1-01 nighttime light images of a research area, ISS nighttime light images and land cover data of corresponding years; preprocessing the image data, The preprocessing includes geometric correction and reprojection; constructing a relative radiometric calibration model and solving iteratively, simulating an ISS image with similar features of the LJ1‑01 image; constructing a feature space combination and performing regional classification. The relative radiation calibration model and calculation method between heterogeneous night light remote sensing images proposed by the invention can solve the problem of shortage of night light data with a resolution of 100 m. The invention adopts the data before and after the change and the ratio of the two to construct a feature combination for classification, and can automatically classify the urban expansion area more accurately, and the efficiency and accuracy are far higher than the manual method.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-113378724-A
priorityDate 2019-09-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
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Total number of triples: 20.