http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-110689508-B
Outgoing Links
Predicate | Object |
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classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10041 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30168 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10036 |
classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-50 |
classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-40 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-50 |
filingDate | 2019-08-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
grantDate | 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationDate | 2022-07-01-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
publicationNumber | CN-110689508-B |
titleOfInvention | An IHS Remote Sensing Image Fusion Method Based on Sparse Structure Manifold Embedding |
abstract | The invention provides an IHS remote sensing image fusion method based on sparse structure manifold embedding. The steps are as follows: Step 1, changing the size of the multispectral image to be the same as that of the full-color image, and performing preprocessing to obtain a low-resolution intensity image and obtain a full-color image. The low-pass components and high-pass components of the image, the low-pass components are divided into blocks to obtain a low-resolution dictionary, and the high-pass components are divided into blocks to obtain a high-resolution dictionary; Step 2, the sparse structure manifold embedding optimization model is established, and the thin The model is solved to obtain the sparse optimal solution; step 3, multiply the high-resolution dictionary and the sparse optimal solution, and reconstruct to obtain a high-resolution detail image; step 4, design the window-based detail information injection model; step 5, A fused image is obtained by injecting a high-resolution detail image into the resized multispectral image. The invention solves the problem existing in the prior art that the local spatial difference between the multispectral image and the panchromatic image has a great influence on the performance of the IHS fusion method. |
priorityDate | 2019-08-15-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
Predicate | Subject |
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isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419505877 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID3365 |
Total number of triples: 17.