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Synopsis
High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning.
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Satellite Image Analysis for Poverty Prediction
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LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206736938
ISBN 13: 9786206736936
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Satellite Image Analysis for Poverty Prediction
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206736938
ISBN 13: 9786206736936
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Satellite Image Analysis for Poverty Prediction
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206736938
ISBN 13: 9786206736936
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Seller: Biblios, Frankfurt am main, HESSE, Germany
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Satellite Image Analysis for Poverty Prediction
Published by
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206736938
ISBN 13: 9786206736936
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning. 52 pp. Englisch. Seller Inventory # 9786206736936
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Satellite Image Analysis for Poverty Prediction
Published by
LAP Lambert Academic Publishing, 2023
ISBN 10: 6206736938
ISBN 13: 9786206736936
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Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract. Seller Inventory # 987550778
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Satellite Image Analysis for Poverty Prediction
Published by
LAP LAMBERT Academic Publishing Jul 2023, 2023
ISBN 10: 6206736938
ISBN 13: 9786206736936
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. Neuware -High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning.Books on Demand GmbH, Überseering 33, 22297 Hamburg 52 pp. Englisch. Seller Inventory # 9786206736936
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Satellite Image Analysis for Poverty Prediction : Leveraging Machine Learning Techniques
Published by
LAP LAMBERT Academic Publishing, 2023
ISBN 10: 6206736938
ISBN 13: 9786206736936
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Seller: AHA-BUCH GmbH, Einbeck, Germany
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - High-resolution satellite imagery is increasingly available globally and contains abundant information about landscape features that could be correlated with economic activity. Unfortunately, such data are highly unstructured and thus challenging to extract meaningful insights from at scale, even with intensive manual analysis. Recent applications of deep learning techniques to large-scale image data sets have led to marked improvements in fundamental computer vision tasks such as object detection and classification, but these techniques are generally the most effective in supervised learning. Seller Inventory # 9786206736936
Quantity: 1 available