Computer Processing of Remotely-Sensed Images
(Sprache: Englisch)
Computer Processing of Remotely-Sensed Images
A thorough introduction to computer processing of remotely-sensed images, processing methods, and applications
Remote sensing is a crucial form of measurement that allows for the gauging of an...
A thorough introduction to computer processing of remotely-sensed images, processing methods, and applications
Remote sensing is a crucial form of measurement that allows for the gauging of an...
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Klappentext zu „Computer Processing of Remotely-Sensed Images “
Computer Processing of Remotely-Sensed ImagesA thorough introduction to computer processing of remotely-sensed images, processing methods, and applications
Remote sensing is a crucial form of measurement that allows for the gauging of an object or space without direct physical contact, allowing for the assessment and recording of a target under conditions which would normally render access difficult or impossible. This is done through the analysis and interpretation of electromagnetic radiation (EMR) that is reflected or emitted by an object, surveyed and recorded by an observer or instrument that is not in contact with the target. This methodology is particularly of importance in Earth observation by remote sensing, wherein airborne or satellite-borne instruments of EMR provide data on the planet's land, seas, ice, and atmosphere. This permits scientists to establish relationships between the measurements and the nature and distribution of phenomena on the Earth's surface or within the atmosphere.
Still relying on a visual and conceptual approach to the material, the fifth edition of this successful textbook provides students with methods of computer processing of remotely sensed data and introduces them to environmental applications which make use of remotely-sensed images. The new edition's content has been rearranged to be more clearly focused on image processing methods and applications in remote sensing with new examples, including material on the Copernicus missions, microsatellites and recently launched SAR satellites, as well as time series analysis methods.
The fifth edition of Computer Processing of Remotely-Sensed Images also contains:
* A cohesive presentation of the fundamental components of Earth observation remote sensing that is easy to understand and highly digestible
* Largely non-technical language providing insights into more advanced topics that may be too difficult for a non-mathematician to understand
*
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Illustrations and example boxes throughout the book to illustrate concepts, as well as revised examples that reflect the latest information
* References and links to the most up-to-date online and open access sources used by students
Computer Processing of Remotely-Sensed Images is a highly insightful textbook for advanced undergraduates and postgraduate students taking courses in remote sensing and GIS in Geography, Geology, and Earth & Environmental Science departments.
* References and links to the most up-to-date online and open access sources used by students
Computer Processing of Remotely-Sensed Images is a highly insightful textbook for advanced undergraduates and postgraduate students taking courses in remote sensing and GIS in Geography, Geology, and Earth & Environmental Science departments.
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Inhaltsverzeichnis zu „Computer Processing of Remotely-Sensed Images “
Preface to the First EditionPreface to the Second Edition
Preface to the Third Edition
Preface to the Fourth Edition
Preface to the Fifth Edition
List of Examples
Chapter 1: Remote Sensing: Basic Principles
1.1 Introduction
1.2 Electromagnetic radiation and its properties
1.2.1 Terminology
1.2.2 Nature of electromagnetic radiation
1.2.3 The electromagnetic spectrum
1.2.4 Sources of electromagnetic radiation
1.2.5 Interactions with the Earth's atmosphere
1.3 Interaction with Earth surface materials
1.3.1 Introduction
1.3.2 Spectral reflectance of Earth surface materials
1.3.2.1 Vegetation
1.3.2.2 Geology
1.3.2.3 Water bodies
1.3.2.4 Soils
1.4 Summary
References
Chapter 2: Remote Sensing Platforms and Sensors
2.1 Introduction
2.2 Characteristics of imaging remote sensing instruments
2.2.1 Spatial resolution
2.2.2 Spectral resolution
2.2.3 Radiometric resolution
2.3 Optical, near-infrared and thermal imaging sensors
2.3.1 Along-Track Scanning Radiometer (ATSR)
2.3.2 Advanced Very High Resolution Radiometer (AVHRR) and Visible Infrared Imager Radiometer Suite (VIIRS)
2.3.3 MODIS (MODerate Resolution Imaging Spectrometer)
2.3.4 Ocean observing instruments
2.3.5 IRS LISS
2.3.6 Landsat instruments
2.3.6.1 Landsat Multi-Spectral Scanner (MSS)
2.3.6.2 Landsat Thematic Mapper (TM)
2.3.6.3 Enhanced Thematic Mapper Plus (ETM+)
2.3.6.4 Landsat 8
2.3.6.5 Landsat 9
2.3.6.6 Landsat Next
2.3.7 SPOT sensors
2.3.7.1 SPOT High Resolution Visible (HRV)
2.3.7.2 Vegetation (VGT)
2.3.7.3 SPOT Follow-on Programme
2.3.8 Advanced Spaceborne Thermal Emission and Reflection Radiometer
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(ASTER)
2.3.9ESA Sentinel Programme
2.3.9.1 Sentinel-2 Multi-Spectral Imager (MSI)
2.3.9.2 Sentinel-3 OLCI and SLSTR
2.3.10 High-resolution commercial and small satellite systems
2.4 Microwave imaging sensors
2.4.1. European Space Agency Synthetic Aperture Spaceborne Radars
2.4.2 Radarsat
2.4.3 TerraSAR-X and COSMO-SkyMed
2.4.3 ALOS PALSAR
2.4.4 Sentinel-1 SAR
2.5 Summary
References
Chapter 3: Pre-Processing of Remotely Sensed Data
3.1 Introduction
3.2 Cosmetic operations
3.2.1 Missing scan lines
3.2.2 De-striping methods
3.2.2.1 Linear method
3.2.2.2 Histogram matching
3.2.2.3 Other de-striping methods
3.3 Geometric correction and registration
3.3.1 Orbital geometry model
3.3.2 Transformation based on ground control points
3.3.3 Resampling procedures
3.3.4 Image registration
3.3.5 Other geometric correction methods
3.4 Atmospheric correction
3.4.1 Background
3.4.2 Image-based methods
3.4.3 Radiative transfer models
3.4.4 Empirical line method
3.5 Illumination and view angle effects
3.6 Sensor calibration
3.7 Terrain effects
3.8 Summary
References
Chapter 4: Image Enhancement Techniques
4.1 Introduction
4.2 Human visual system
4.3 Contrast enhancement
4.3.1 Linear contrast stretch
4.3.2 Histogram equalisation
4.3.3 Gaussian stretch
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2.3.9ESA Sentinel Programme
2.3.9.1 Sentinel-2 Multi-Spectral Imager (MSI)
2.3.9.2 Sentinel-3 OLCI and SLSTR
2.3.10 High-resolution commercial and small satellite systems
2.4 Microwave imaging sensors
2.4.1. European Space Agency Synthetic Aperture Spaceborne Radars
2.4.2 Radarsat
2.4.3 TerraSAR-X and COSMO-SkyMed
2.4.3 ALOS PALSAR
2.4.4 Sentinel-1 SAR
2.5 Summary
References
Chapter 3: Pre-Processing of Remotely Sensed Data
3.1 Introduction
3.2 Cosmetic operations
3.2.1 Missing scan lines
3.2.2 De-striping methods
3.2.2.1 Linear method
3.2.2.2 Histogram matching
3.2.2.3 Other de-striping methods
3.3 Geometric correction and registration
3.3.1 Orbital geometry model
3.3.2 Transformation based on ground control points
3.3.3 Resampling procedures
3.3.4 Image registration
3.3.5 Other geometric correction methods
3.4 Atmospheric correction
3.4.1 Background
3.4.2 Image-based methods
3.4.3 Radiative transfer models
3.4.4 Empirical line method
3.5 Illumination and view angle effects
3.6 Sensor calibration
3.7 Terrain effects
3.8 Summary
References
Chapter 4: Image Enhancement Techniques
4.1 Introduction
4.2 Human visual system
4.3 Contrast enhancement
4.3.1 Linear contrast stretch
4.3.2 Histogram equalisation
4.3.3 Gaussian stretch
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Autoren-Porträt von Paul M. Mather, Magaly Koch
Paul M. Mather, PhD, now deceased, was Professor Emeritus at the University of Nottingham, UK.Magaly Koch, PhD, is a Professor at Boston University, USA.
Bibliographische Angaben
- Autoren: Paul M. Mather , Magaly Koch
- 2022, 5. Aufl., 384 Seiten, Maße: 27,6 x 21,6 cm, Kartoniert (TB), Englisch
- Verlag: Wiley & Sons
- ISBN-10: 1119502829
- ISBN-13: 9781119502821
- Erscheinungsdatum: 11.04.2022
Sprache:
Englisch
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