Image analysis, classification and change detection in remote sensing: with algorithms for Python
This resource is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops stati...
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| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton ; London ; New York
CRC Press
2022
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| Edition: | Fourth edition, first issued in paperback |
| Subjects: | |
| Summary: | This resource is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks |
| Item Description: | This edition originally published: 2019 |
| Physical Description: | xxi, 509 Seiten Illustrationen, Diagramme 24 cm |
| ISBN: | 9781032475745 9781138613225 |
Staff View
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Record in the Search Index
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| id | DE-604.BV048888107 |
| illustrated | Illustrated |
| index_date | 2024-07-03T21:47:41Z |
| indexdate | 2025-06-11T08:00:34Z |
| institution | BVB |
| isbn | 9781032475745 9781138613225 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034152728 |
| oclc_num | 1376405078 |
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| owner_facet | DE-1050 DE-83 DE-11 |
| physical | xxi, 509 Seiten Illustrationen, Diagramme 24 cm |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Canty, M. J. Verfasser (DE-588)1073652440 aut Image analysis, classification and change detection in remote sensing with algorithms for Python Morton John Canty Fourth edition, first issued in paperback Boca Raton ; London ; New York CRC Press 2022 xxi, 509 Seiten Illustrationen, Diagramme 24 cm txt rdacontent n rdamedia nc rdacarrier This edition originally published: 2019 This resource is focused on the development and implementation of statistically motivated, data-driven techniques for digital image analysis of remotely sensed imagery and it features a tight interweaving of statistical and machine learning theory of algorithms with computer codes. It develops statistical methods for the analysis of optical/infrared and synthetic aperture radar (SAR) imagery, including wavelet transformations, kernel methods for nonlinear classification, as well as an introduction to deep learning in the context of feed forward neural networks Remote sensing / Mathematics Image analysis / Mathematics Image analysis / Data processing Python (Computer program language) Image analysis / Data processing fast Python (Computer program language) fast Remote sensing / Mathematics fast Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Bildverarbeitung (DE-588)4006684-8 gnd rswk-swf Fernerkundung (DE-588)4016796-3 gnd rswk-swf Fernerkundung (DE-588)4016796-3 s Bildverarbeitung (DE-588)4006684-8 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Erscheint auch als Online-Ausgabe 978-0-429-46434-8 |
| spellingShingle | Canty, M. J. Image analysis, classification and change detection in remote sensing with algorithms for Python Remote sensing / Mathematics Image analysis / Mathematics Image analysis / Data processing Python (Computer program language) Image analysis / Data processing fast Python (Computer program language) fast Remote sensing / Mathematics fast Mathematisches Modell (DE-588)4114528-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Fernerkundung (DE-588)4016796-3 gnd |
| subject_GND | (DE-588)4114528-8 (DE-588)4006684-8 (DE-588)4016796-3 |
| title | Image analysis, classification and change detection in remote sensing with algorithms for Python |
| title_auth | Image analysis, classification and change detection in remote sensing with algorithms for Python |
| title_exact_search | Image analysis, classification and change detection in remote sensing with algorithms for Python |
| title_exact_search_txtP | Image analysis, classification and change detection in remote sensing with algorithms for Python |
| title_full | Image analysis, classification and change detection in remote sensing with algorithms for Python Morton John Canty |
| title_fullStr | Image analysis, classification and change detection in remote sensing with algorithms for Python Morton John Canty |
| title_full_unstemmed | Image analysis, classification and change detection in remote sensing with algorithms for Python Morton John Canty |
| title_short | Image analysis, classification and change detection in remote sensing |
| title_sort | image analysis classification and change detection in remote sensing with algorithms for python |
| title_sub | with algorithms for Python |
| topic | Remote sensing / Mathematics Image analysis / Mathematics Image analysis / Data processing Python (Computer program language) Image analysis / Data processing fast Python (Computer program language) fast Remote sensing / Mathematics fast Mathematisches Modell (DE-588)4114528-8 gnd Bildverarbeitung (DE-588)4006684-8 gnd Fernerkundung (DE-588)4016796-3 gnd |
| topic_facet | Remote sensing / Mathematics Image analysis / Mathematics Image analysis / Data processing Python (Computer program language) Mathematisches Modell Bildverarbeitung Fernerkundung |
| work_keys_str_mv | AT cantymj imageanalysisclassificationandchangedetectioninremotesensingwithalgorithmsforpython |