Deploying a quantum annealing processor to detect tree cover in aerial imagery of California
Publication Date
February 27, 2017
Authors
Edward Boyda, Saikat Basu, Sangram Ganguly, Andrew Michaelis, et al
Volume
12
Issue
2
Pages
e0172505
DOI
https://dx.plos.org/10.1371/journal.pone.0172505
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0172505
Scopus
85013958078
Mendeley
http://www.mendeley.com/research/deploying-quantum-annealing-processor-detect-tree-cover-aerial-imagery-california
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Mendeley | Further Information

{"title"=>"Deploying a quantum annealing processor to detect tree cover in aerial imagery of California", "type"=>"journal", "authors"=>[{"first_name"=>"Edward", "last_name"=>"Boyda", "scopus_author_id"=>"56703434700"}, {"first_name"=>"Saikat", "last_name"=>"Basu", "scopus_author_id"=>"56701578200"}, {"first_name"=>"Sangram", "last_name"=>"Ganguly", "scopus_author_id"=>"56012593900"}, {"first_name"=>"Andrew", "last_name"=>"Michaelis", "scopus_author_id"=>"8308107100"}, {"first_name"=>"Supratik", "last_name"=>"Mukhopadhyay", "scopus_author_id"=>"11639148700"}, {"first_name"=>"Ramakrishna R.", "last_name"=>"Nemani", "scopus_author_id"=>"35509463200"}], "year"=>2017, "source"=>"PLoS ONE", "identifiers"=>{"doi"=>"10.1371/journal.pone.0172505", "sgr"=>"85013958078", "isbn"=>"1111111111", "issn"=>"19326203", "scopus"=>"2-s2.0-85013958078", "pui"=>"614571066"}, "id"=>"1b618e70-28ea-3e3f-9de4-a007cc007004", "abstract"=>"Quantum annealing is an experimental and potentially breakthrough computational technology for handling hard optimization problems, including problems of computer vision. We present a case study in training a production-scale classifier of tree cover in remote sensing imagery, using early-generation quantum annealing hardware built by D-wave Systems, Inc. Beginning within a known boosting framework, we train decision stumps on texture features and vegetation indices extracted from four-band, one-meter-resolution aerial imagery from the state of California. We then impose a regulated quadratic training objective to select an optimal voting subset from among these stumps. The votes of the subset define the classifier. For optimization, the logical variables in the objective function map to quantum bits in the hardware device, while quadratic couplings encode as the strength of physical interactions between the quantum bits. Hardware design limits the number of couplings between these basic physical entities to five or six. To account for this limitation in mapping large problems to the hardware architecture, we propose a truncation and rescaling of the training objective through a trainable metaparameter. The boosting process on our basic 108- and 508-variable problems, thus constituted, returns classifiers that incorporate a diverse range of color- and texture-based metrics and discriminate tree cover with accuracies as high as 92% in validation and 90% on a test scene encompassing the open space preserves and dense suburban build of Mill Valley, CA.This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.", "link"=>"http://www.mendeley.com/research/deploying-quantum-annealing-processor-detect-tree-cover-aerial-imagery-california", "reader_count"=>31, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>10, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>4, "Student > Bachelor"=>1, "Professor"=>4, "Student > Doctoral Student"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Librarian"=>1, "Researcher"=>10, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>2, "Other"=>4, "Student > Bachelor"=>1, "Professor"=>4, "Student > Doctoral Student"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Unspecified"=>2, "Environmental Science"=>4, "Agricultural and Biological Sciences"=>1, "Neuroscience"=>1, "Physics and Astronomy"=>6, "Social Sciences"=>1, "Computer Science"=>9, "Earth and Planetary Sciences"=>4, "Business, Management and Accounting"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Neuroscience"=>{"Neuroscience"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Physics and Astronomy"=>{"Physics and Astronomy"=>6}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>4}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>9}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>4}}, "reader_count_by_country"=>{"United States"=>1, "Japan"=>1, "Denmark"=>1, "Spain"=>1}, "group_count"=>1}

Scopus | Further Information

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