Image analysis, classification, and change detection in remote sensing : with algorithms for Python / Morton John Canty.
By: Canty, Morton John [author.]
Material type:
TextPublisher: Boca Raton : CRC Press, Taylor & Francis Group, [2019]Edition: Fourth editionDescription: xxi, 509 pages : illustrations and maps ; 25 cmContent type: text Media type: unmediated Carrier type: volumeISBN: 9781138613225Subject(s): Remote sensing -- Mathematics | Image analysis -- Mathematics | Image analysis -- Data processing | Python (Computer program language)DDC classification: 621.3670285 LOC classification: G70.4 | .C36 2019Summary: "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.
| Item type | Current location | Call number | Status | Date due | Barcode |
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Mangalore University Library | 621.3670285 CAN (Browse shelf) | Available | 157536 |
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| 621.367 SAX Science of imaging : | 621.367 SEU Practical algorithms for image analysis: Description, examples and code | 621.367 SIN P Medical image processing : | 621.3670285 CAN Image analysis, classification, and change detection in remote sensing : with algorithms for Python / | 621.3673 CHE C Radiographic imaging | 621.3675 DEN Fundamentals Of Holography | 621.3678 ACO Acoustic remote sensing applications |
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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