eBook
Image Analysis, Classification and Change Detection in Remote Sensing : With Algorithms for Python
| Title: | Image Analysis, Classification and Change Detection in Remote Sensing : With Algorithms for Python |
|---|---|
| Description: | The fifth edition of this core textbook in advanced remote sensing continues to maintain its emphasis on statistically motivated, data-driven techniques for remote sensing image analysis. The theoretical substance remains essentially the same, with new material on convolutional neural networks, transfer learning, image segmentation, random forests, and an extended implementation of sequential change detection with radar satellites. The tools which apply the algorithms to real remote sensing data are brought thoroughly up to date. As these software tools have evolved substantially with time, the fifth edition replaces the now obsolete Python 2 with Python 3 and takes advantage of the high-level packages that are based on it, such as Colab, TensorFlow/KERAS, Scikit-Learn, and the Google Earth Engine Python API.New in the Fifth Edition: Thoroughly revised to include the updates needed in all chapters because of the necessary changes to the software. Replaces Python 2 with Python 3 tools and updates all associated subroutines, Jupyter notebooks and Python scripts. Presents easy, platform-independent software installation methods with Docker containers. Each chapter concludes with exercises complementing or extending the material in the text. Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks. This new text is essential for all upper-level undergraduate and graduate students pursuing degrees in Geography, Geology, Geophysics, Environmental Sciences and Engineering, Urban Planning, and the many subdisciplines that include advanced courses in remote sensing. It is also a great resource for researchers and scientists interested in learning techniques and technologies for collecting, analyzing, managing, processing, and visualizing geospatial datasets. |
| Authors: | Morton John Canty |
| Resource Type: | eBook. |
| Subjects: | Image analysis--Mathematics, Remote sensing--Mathematics, Image analysis--Data processing, Python (Computer program language) |
| Categories: | TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems, SCIENCE / Earth Sciences / Geography, TECHNOLOGY & ENGINEERING / Imaging Systems |
| Database: | eBook Index |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: edsebk DbLabel: eBook Index An: 4092693 RelevancyScore: 981 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 981.043701171875 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Image Analysis, Classification and Change Detection in Remote Sensing : With Algorithms for Python – Name: Abstract Label: Description Group: Ab Data: The fifth edition of this core textbook in advanced remote sensing continues to maintain its emphasis on statistically motivated, data-driven techniques for remote sensing image analysis. The theoretical substance remains essentially the same, with new material on convolutional neural networks, transfer learning, image segmentation, random forests, and an extended implementation of sequential change detection with radar satellites. The tools which apply the algorithms to real remote sensing data are brought thoroughly up to date. As these software tools have evolved substantially with time, the fifth edition replaces the now obsolete Python 2 with Python 3 and takes advantage of the high-level packages that are based on it, such as Colab, TensorFlow/KERAS, Scikit-Learn, and the Google Earth Engine Python API.New in the Fifth Edition: Thoroughly revised to include the updates needed in all chapters because of the necessary changes to the software. Replaces Python 2 with Python 3 tools and updates all associated subroutines, Jupyter notebooks and Python scripts. Presents easy, platform-independent software installation methods with Docker containers. Each chapter concludes with exercises complementing or extending the material in the text. Utilizes freely accessible imagery via the Google Earth Engine and provides many examples of cloud programming (Google Earth Engine API). Examines deep learning examples including TensorFlow and a sound introduction to neural networks. This new text is essential for all upper-level undergraduate and graduate students pursuing degrees in Geography, Geology, Geophysics, Environmental Sciences and Engineering, Urban Planning, and the many subdisciplines that include advanced courses in remote sensing. It is also a great resource for researchers and scientists interested in learning techniques and technologies for collecting, analyzing, managing, processing, and visualizing geospatial datasets. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Morton+John+Canty%22">Morton John Canty</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Image+analysis--Mathematics%22">Image analysis--Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Remote+sensing--Mathematics%22">Remote sensing--Mathematics</searchLink><br /><searchLink fieldCode="DE" term="%22Image+analysis--Data+processing%22">Image analysis--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Python+%28Computer+program+language%29%22">Python (Computer program language)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Remote+Sensing+%26+Geographic+Information+Systems%22">TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems</searchLink><br /><searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Earth+Sciences+%2F+Geography%22">SCIENCE / Earth Sciences / Geography</searchLink><br /><searchLink fieldCode="ZK" term="%22TECHNOLOGY+%26+ENGINEERING+%2F+Imaging+Systems%22">TECHNOLOGY & ENGINEERING / Imaging Systems</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4092693 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 621.3670285 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Image analysis--Mathematics Type: general – SubjectFull: Remote sensing--Mathematics Type: general – SubjectFull: Image analysis--Data processing Type: general – SubjectFull: Python (Computer program language) Type: general Titles: – TitleFull: Image Analysis, Classification and Change Detection in Remote Sensing : With Algorithms for Python Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Morton John Canty – PersonEntity: Name: NameFull: Morton John Canty IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 – D: 23 M: 05 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9781032821689 – Type: isbn-electronic Value: 9781040351581 – Type: isbn-electronic Value: 9781040351659 Titles: – TitleFull: Image Analysis, Classification and Change Detection in Remote Sensing : With Algorithms for Python Type: main |
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