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Remotely-sensed images of the Earth's surface provide a valuablesource of information about the geographical distribution andproperties of natural and cultural features. This fully revised andupdated edition of a highly regarded textbook deals with themechanics of processing remotely-senses images. Presented in anaccessible manner, the book covers a wide range of image processingand pattern recognition techniques. Features include: * New topics on LiDAR data processing, SAR interferometry, theanalysis of imaging spectrometer image sets and the use of thewavelet transform. * An accompanying…mehr
Remotely-sensed images of the Earth's surface provide a valuablesource of information about the geographical distribution andproperties of natural and cultural features. This fully revised andupdated edition of a highly regarded textbook deals with themechanics of processing remotely-senses images. Presented in anaccessible manner, the book covers a wide range of image processingand pattern recognition techniques. Features include: * New topics on LiDAR data processing, SAR interferometry, theanalysis of imaging spectrometer image sets and the use of thewavelet transform. * An accompanying CD-ROM with: * updated MIPS software, including modules for standardprocedures such as image display, filtering, image transforms,graph plotting, import of data from a range of sensors. * A set of exercises, including data sets, illustrating theapplication of discussed methods using the MIPS software. * An extensive list of WWW resources including colourillustrations for easy download. For further information, including exercises and latest softwareinformation visit the Author's Website at:http://homepage.ntlworld.com/paul.mather/ComputerProcessing3
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Autorenporträt
Paul Mather has been Professor of Geographical Information Science at The University of Nottingham, UK since 1988. BA (Cambridge), PhD (Nottingham). Main research interests: multivariate analysis of spatial data (Computational Methods of Multivariate Analysis in Physical Geography, Chichester, John Wiley, 1976) and digital image processing applied to remotely sensed data, particularly algorithms for classification and pattern recognition (Classification Methods for Remotely Sensed Data, with B. Tso, London, Taylor and Francis, 2001).
Awarded OBE in the Queen's Jubilee Honours in 2002 for 'services to remote sensing and photogrammetry'.
Recipient of The Remote Sensing Society's Gold Medal in 1996.
Presented with the Back Award of the Royal Geographical Society for 'contributions to remote sensing' in 1992.
Winner of the Dearing Award for "Outstanding contribution to the development of teaching and learning", The University of Nottingham, 2003.
Invited speaker/lecturer at conferences/courses all over the world (e.g., Japan, Indonesia, India, South Africa, Poland, Hungary, Bulgaria, Spain).
Inhaltsangabe
Preface to the First Edition
Preface 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 (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
