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Investigation of Image Feature Extraction by a Genetic Algorithm

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Investigation of Image Feature Extraction by a Genetic Algorithm
Συγγραφείς: Brumby, Steven P., Theiler, James P., Perkins, Simon J., Harvey, Neal R., Szymanski, John J., Bloch, Jeffrey J., Mitchell, Melanie
Πηγή: Computer Science Faculty Publications and Presentations
Στοιχεία εκδότη: PDXScholar
Έτος έκδοσης: 1999
Συλλογή: Portland State University: PDXScholar
Θεματικοί όροι: Genetic algorithms, Remote sensing, Image processing -- Computer programs, Evolutionary computation, Computer Engineering, Theory and Algorithms
Περιγραφή: We describe the implementation and performance of a genetic algorithm which generates image feature extraction algorithms for remote sensing applications. We describe our basis set of primitive image operators and present our chromosomal representation of a complete algorithm. Our initial application has been geospatial feature extraction using publicly available multi-spectral aerial-photography data sets. We present the preliminary results of our analysis of the efficiency of the classic genetic operations of crossover and mutation for our application, and discuss our choice of evolutionary control parameters. We exhibit some of our evolved algorithms, and discuss possible avenues for future progress.
Τύπος εγγράφου: text
Περιγραφή αρχείου: application/pdf
Γλώσσα: unknown
Relation: https://pdxscholar.library.pdx.edu/compsci_fac/5; https://pdxscholar.library.pdx.edu/context/compsci_fac/article/1004/viewcontent/investigation_of_image_feature.pdf
Διαθεσιμότητα: https://pdxscholar.library.pdx.edu/compsci_fac/5
https://pdxscholar.library.pdx.edu/context/compsci_fac/article/1004/viewcontent/investigation_of_image_feature.pdf
Αριθμός Καταχώρησης: edsbas.3B98C90
Βάση Δεδομένων: BASE
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PubType: Academic Journal
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  Data: Investigation of Image Feature Extraction by a Genetic Algorithm
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  Data: <searchLink fieldCode="AR" term="%22Brumby%2C+Steven+P%2E%22">Brumby, Steven P.</searchLink><br /><searchLink fieldCode="AR" term="%22Theiler%2C+James+P%2E%22">Theiler, James P.</searchLink><br /><searchLink fieldCode="AR" term="%22Perkins%2C+Simon+J%2E%22">Perkins, Simon J.</searchLink><br /><searchLink fieldCode="AR" term="%22Harvey%2C+Neal+R%2E%22">Harvey, Neal R.</searchLink><br /><searchLink fieldCode="AR" term="%22Szymanski%2C+John+J%2E%22">Szymanski, John J.</searchLink><br /><searchLink fieldCode="AR" term="%22Bloch%2C+Jeffrey+J%2E%22">Bloch, Jeffrey J.</searchLink><br /><searchLink fieldCode="AR" term="%22Mitchell%2C+Melanie%22">Mitchell, Melanie</searchLink>
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  Data: Computer Science Faculty Publications and Presentations
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  Data: 1999
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  Data: Portland State University: PDXScholar
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  Data: <searchLink fieldCode="DE" term="%22Genetic+algorithms%22">Genetic algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing%22">Remote sensing</searchLink><br /><searchLink fieldCode="DE" term="%22Image+processing+--+Computer+programs%22">Image processing -- Computer programs</searchLink><br /><searchLink fieldCode="DE" term="%22Evolutionary+computation%22">Evolutionary computation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Engineering%22">Computer Engineering</searchLink><br /><searchLink fieldCode="DE" term="%22Theory+and+Algorithms%22">Theory and Algorithms</searchLink>
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  Data: We describe the implementation and performance of a genetic algorithm which generates image feature extraction algorithms for remote sensing applications. We describe our basis set of primitive image operators and present our chromosomal representation of a complete algorithm. Our initial application has been geospatial feature extraction using publicly available multi-spectral aerial-photography data sets. We present the preliminary results of our analysis of the efficiency of the classic genetic operations of crossover and mutation for our application, and discuss our choice of evolutionary control parameters. We exhibit some of our evolved algorithms, and discuss possible avenues for future progress.
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  Data: https://pdxscholar.library.pdx.edu/compsci_fac/5; https://pdxscholar.library.pdx.edu/context/compsci_fac/article/1004/viewcontent/investigation_of_image_feature.pdf
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  Data: https://pdxscholar.library.pdx.edu/compsci_fac/5<br />https://pdxscholar.library.pdx.edu/context/compsci_fac/article/1004/viewcontent/investigation_of_image_feature.pdf
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    Subjects:
      – SubjectFull: Genetic algorithms
        Type: general
      – SubjectFull: Remote sensing
        Type: general
      – SubjectFull: Image processing -- Computer programs
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      – SubjectFull: Evolutionary computation
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      – TitleFull: Investigation of Image Feature Extraction by a Genetic Algorithm
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              Type: published
              Y: 1999
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