Image analysis, classification and change detection in remote sensing : with algorithms for Python / by Morton J. Canty.
By: Canty, Morton John [author.]
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Material type: 
BookPublisher: Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019Edition: Fourth edition.Description: xi, 509 p. : 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781138613225 (hardback : acidfree paper).Subject(s): Remote sensing -- Mathematics | Image analysis -- Mathematics | Image analysis -- Data processing | Python (Computer program language)DDC classification: 621.3670285 Summary: "This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of statistical and machine learning theory with algorithms and computer codes. The material is self-contained and illustrated with many programming examples. New in the fourth edition is an in-depth treatment of a recent Wishart distribution-based sequential change detection algorithm for polarimetric SAR image time series, as well as an introduction to deep learning in the context of supervised land-use classification. It includes Python (open source) versions of all of the main image analysis algorithms making it accessible to all readers"-- Provided by publisher.
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| SR 620.82 M484 The Measure of man and woman : | SR 620.82 M484 The Measure of man and woman : | SR 621. 3670285 C234 Image analysis, classification and change detection in remote sensing : | SR 621. 3670285 C234 Image analysis, classification and change detection in remote sensing : | SR 621. 3670285 C234 Image analysis, classification and change detection in remote sensing : | SR 621. 3670285 C234 Image analysis, classification and change detection in remote sensing : | SR 621. 3670285 C234 Image analysis, classification and change detection in remote sensing : |
Includes bibliographical references and index.
"This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of statistical and machine learning theory with algorithms and computer codes. The material is self-contained and illustrated with many programming examples. New in the fourth edition is an in-depth treatment of a recent Wishart distribution-based sequential change detection algorithm for polarimetric SAR image time series, as well as an introduction to deep learning in the context of supervised land-use classification. It includes Python (open source) versions of all of the main image analysis algorithms making it accessible to all readers"-- Provided by publisher.
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