• Fri frakt över 249 kr
  • •
  • Snabba leveranser
  • •
  • Billiga böcker
Kundservice

Du är på sajten för privatpersoner.

Företag, bibliotek eller offentlig verksamhet?

Du handlar på classic.bokus.com, där alla dina funktioner finns intakta.
Till classic.bokus.com
Bokus logotyp. Gå till startsidan.
  • Erbjudanden
  • Nyheter
  • Student
  • Topplistor
  • Barn & ungdom
  • Bokus Play
  • E-böcker
  • Pocketböcker
  • Spel & pussel

Upp till 20% på populära nyheter →

Sidfot

Mina sidor

    Hjälp

    • Kundservice
    • Vanliga frågor och svar
    • Frakt och leverans
    • Retur vid ångerrätt
    • Reklamera vara
    • Betalning
    • Köpvillkor
    • Allmänna villkor
    • Information om webbplatsens tillgänglighet

    Om Bokus

    • Om oss
    • Pressrum
    • För studenter
    • För företag
    • För bibliotek och offentlig verksamhet
    • För leverantörer
    • Hållbarhet

    Populärt

    • Aktuella erbjudanden
    • Presentkort
    • Studentlitteratur
    • Nya böcker
    • Topplistor
    • Signerade böcker
    • Engelska böcker

    Inspiration

    • Boktips
    • BookTok
    • Populära bokserier
    • Barnbokskaraktärer
    • Populära författare

    Mina sidor

      Hjälp

      • Kundservice
      • Vanliga frågor och svar
      • Frakt och leverans
      • Retur vid ångerrätt
      • Reklamera vara
      • Betalning
      • Köpvillkor
      • Allmänna villkor
      • Information om webbplatsens tillgänglighet

      Om Bokus

      • Om oss
      • Pressrum
      • För studenter
      • För företag
      • För bibliotek och offentlig verksamhet
      • För leverantörer
      • Hållbarhet

      Populärt

      • Aktuella erbjudanden
      • Presentkort
      • Studentlitteratur
      • Nya böcker
      • Topplistor
      • Signerade böcker
      • Engelska böcker

      Inspiration

      • Boktips
      • BookTok
      • Populära bokserier
      • Barnbokskaraktärer
      • Populära författare
      Logotyp för Bokus
      Följ oss på Facebook (extern länk)Följ oss på Instagram (extern länk)Följ oss på YouTube (extern länk)Följ oss på TikTok (extern länk)
      bokus @ CookiesIntegritetspolicyKöpvillkor
      Till Citymail hemsida (extern länk)Till Budbee hemsida (extern länk)Till Postnord hemsida (extern länk)Till Schenker hemsida (extern länk)Till Early Bird hemsida (extern länk)Till Walleys hemsida (extern länk)
      1. Naturvetenskap och teknik
      2. Teknik och industri
      3. Elektronik och kommunikationer

      Computer Processing of Remotely-Sensed Images

      AvPaul M. Mather,Magaly Koch

      Häftad, Engelska, 2022

      1 224 kr

      Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

      Fler format och utgåvor

      E-bok

      1 898 kr

      Inbunden

      Tillf. slut

      Beskrivning

      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 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 digestibleLargely non-technical language providing insights into more advanced topics that may be too difficult for a non-mathematician to understandIllustrations and example boxes throughout the book to illustrate concepts, as well as revised examples that reflect the latest informationReferences and links to the most up-to-date online and open access sources used by studentsComputer 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.

      Produktinformation

      • Utgivningsdatum:2022-04-28
      • Mått:213 x 272 x 20 mm
      • Vikt:1 021 g
      • Format:Häftad
      • Språk:Engelska
      • Antal sidor:384
      • Upplaga:5
      • Förlag:John Wiley and Sons Ltd
      • ISBN:9781119502821

      Utforska kategorier

      • Elektronik och kommunikationer inom Naturvetenskap och teknik
      • Geovetenskap inom Naturvetenskap och teknik

      Mer om författaren

      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.

      Innehållsförteckning

      • Preface to the First EditionPreface to the Second EditionPreface to the Third EditionPreface to the Fourth EditionPreface to the Fifth EditionList of ExamplesChapter 1: Remote Sensing: Basic Principles1.1 Introduction1.2 Electromagnetic radiation and its properties1.2.1 Terminology1.2.2 Nature of electromagnetic radiation1.2.3 The electromagnetic spectrum1.2.4 Sources of electromagnetic radiation1.2.5 Interactions with the Earth's atmosphere1.3 Interaction with Earth surface materials1.3.1 Introduction1.3.2 Spectral reflectance of Earth surface materials1.3.2.1 Vegetation1.3.2.2 Geology1.3.2.3 Water bodies1.3.2.4 Soils1.4 SummaryReferencesChapter 2: Remote Sensing Platforms and Sensors 2.1 Introduction2.2 Characteristics of imaging remote sensing instruments2.2.1 Spatial resolution2.2.2 Spectral resolution2.2.3 Radiometric resolution2.3 Optical, near-infrared and thermal imaging sensors2.3.1 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 instruments2.3.5 IRS LISS2.3.6 Landsat instruments2.3.6.1 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 82.3.6.5 Landsat 92.3.6.6 Landsat Next2.3.7 SPOT sensors2.3.7.1 SPOT High Resolution Visible (HRV)2.3.7.2 Vegetation (VGT)2.3.7.3 SPOT Follow-on Programme2.3.8 Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER)2.3.9ESA Sentinel Programme2.3.9.1 Sentinel-2 Multi-Spectral Imager (MSI)2.3.9.2 Sentinel-3 OLCI and SLSTR2.3.10 High-resolution commercial and small satellite systems2.4 Microwave imaging sensors2.4.1. European Space Agency Synthetic Aperture Spaceborne Radars2.4.2 Radarsat2.4.3 TerraSAR-X and COSMO-SkyMed2.4.3 ALOS PALSAR2.4.4 Sentinel-1 SAR2.5 SummaryReferencesChapter 3: Pre-Processing of Remotely Sensed Data3.1 Introduction3.2 Cosmetic operations3.2.1 Missing scan lines3.2.2 De-striping methods3.2.2.1 Linear method3.2.2.2 Histogram matching3.2.2.3 Other de-striping methods3.3 Geometric correction and registration3.3.1 Orbital geometry model3.3.2 Transformation based on ground control points3.3.3 Resampling procedures3.3.4 Image registration3.3.5 Other geometric correction methods3.4 Atmospheric correction3.4.1 Background3.4.2 Image-based methods3.4.3 Radiative transfer models3.4.4 Empirical line method3.5 Illumination and view angle effects3.6 Sensor calibration3.7 Terrain effects3.8 SummaryReferencesChapter 4: Image Enhancement Techniques4.1 Introduction4.2 Human visual system4.3 Contrast enhancement4.3.1 Linear contrast stretch4.3.2 Histogram equalisation4.3.3 Gaussian stretch4.4 Pseudocolour enhancement4.4.1 Density slicing4.4.2 Pseudocolour transform4.5 SummaryReferencesChapter 5: Image Transforms5.1 Introduction5.2 Arithmetic operations5.2.1 Image addition5.2.2 Image subtraction5.2.3 Image multiplication5.2.4 Image division and vegetation indices5.3 Empirically based image transforms5.3.1 Perpendicular Vegetation Index5.3.2 Tasselled Cap (Kauth-Thomas) transformation5.4 Principal Components Analysis5.4.1 Standard Principal Components Analysis5.4.2 Noise-adjusted Principal Components Analysis5.4.3 Decorrelation stretch5.5 Hue, Saturation and Intensity (HSI) transform5.6 The Discrete Fourier Transform5.6.1 Introduction5.6.2 Two-dimensional Fourier transform5.6.3 Applications of the Fourier transform5.7 The Discrete Wavelet Transform5.7.1 Introduction5.7.2 The one-dimensional Discrete Wavelet Transform5.7.3 The two-dimensional Discrete Wavelet Transform5.8 Change Detection5.8.1 Introduction5.8.2 NDVI Difference Image5.8.3 Principal Components Analysis5.8.4 Canonical Correlation Change Analysis5.8.5 Time Series Analysis5.8.6 Summary5.9 Image fusion5.9.1 Introduction5.9.2 Hue, Saturation and Intensity (HSI) algorithm.5.9.3 Principal Components Analysis5.9.4 Gram-Schmidt orthogonalisation5.9.5 Wavelet based methods5.9.6 Evaluation – Subjective methods5.9.7 Evaluation  – Objective methods5.10 SummaryReferencesChapter 6: Filtering Techniques6.1 Introduction6.2 Spatial domain low-pass (smoothing) filters6.2.1 Moving average filter6.2.2 Median filter6.2.3 Adaptive filters6.3 Spatial domain high-pass (sharpening) filters6.3.1 Image subtraction method6.3.2 Derivative-based methods6.4 Spatial domain edge detectors6.5 Frequency domain filters6.6 SummaryReferencesChapter 7: Classification7.1 Introduction7.2 Geometrical basis of classification7.3 Unsupervised classification7.3.1 The k-means algorithm7.3.2 ISODATA7.3.3 A modified k-means algorithm7.4 Supervised classification7.4.1 Training samples7.4.2 Statistical classifiers7.4.2.1 Parallelepiped classifier7.4.2.2 Centroid (k-means) classifier7.4.2.3 Maximum likelihood method7.4.3 Neural classifiers7.5 Sub-pixel classification techniques7.5.1 The linear mixture model7.5.2 Spectral Angle Mapping7.5.3 Independent Components Analysis7.5.4 Fuzzy classifiers7.6 More advanced approaches to image classification7.6.1 Support Vector Machines7.6.2 Decision tree classifiers7.6.3 Other approaches to classification7.6.3.1Rule based methods and the Genetic Algorithm7.6.3.2Object-oriented methods7.6.3.3Other methods7.6.3.3.1Evidential Reasoning7.6.3.3.2Bagging, boosting and ensembles of classifiers7.7 Incorporation of non-spectral features7.7.1 Texture7.7.2 Use of external data7.8 Contextual information7.9 Feature selection7.10 Classification accuracy7.11 SummaryReferencesChapter 8 Advanced Topics8.1 Introduction8.2 SAR interferometry8.2.1 Basic principles8.2.2 Interferometric processing8.2.3 Problems in SAR interferometry8.2.4 Applications of SAR interferometry8.3 Imaging spectroscopy8.3.1 Introduction8.3.2 Processing imaging spectrometer data8.3.2.1 Derivative analysis8.3.2.2 Smoothing and denoising the reflectance spectrum8.3.2.2.1 Savitzky-Golay polynomial smoothing8.3.2.2.2 Denoising using the Discrete Wavelet Transform8.3.2.3 Determination of ‘red edge’ characteristics of vegetation8.3.2.4 Continuum removal8.4 Lidar8.4.1 Introduction8.4.2 Lidar details8.4.3 Lidar applications8.5 SummaryReferencesAppendix AIndex
      Hoppa över listan

      Mer från samma författare

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2010

      2 200 kr

      Paul M. Mather - Computer Applications in Geography, Häftad

      Computer Applications in Geography

      Paul M. Mather

      Häftad, 1991

      2 251 kr

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather - Classification Methods for Remotely Sensed Data, Inbunden

      Classification Methods for Remotely Sensed Data

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather

      Inbunden, 2024

      2 683 kr

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather - Classification Methods for Remotely Sensed Data, Häftad
      • Nyhet

      Classification Methods for Remotely Sensed Data

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather

      Häftad, 2026

      904 kr

      Paul M. Mather, Brandt Tso, Taskin Kavzoglu - Classification Methods for Remotely Sensed Data, E-bok

      Classification Methods for Remotely Sensed Data

      Paul M. Mather, Brandt Tso, Taskin Kavzoglu

      E-bok
      2024

      2 354 kr

      Paul M. Mather, Brandt Tso, Taskin Kavzoglu - Classification Methods for Remotely Sensed Data, E-bok

      Classification Methods for Remotely Sensed Data

      Paul M. Mather, Brandt Tso, Taskin Kavzoglu

      E-bok
      2024

      2 473 kr

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2022

      1 404 kr

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2022

      1 404 kr

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2011

      962 kr

      Hoppa över listan

      Du kanske också är intresserad av

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2011

      962 kr

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2022

      1 404 kr

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2010

      2 200 kr

      Magaly Koch, Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Magaly Koch, Paul M. Mather

      E-bok
      2022

      1 404 kr

      Paul M Mather, Magaly Koch - Mather, P: Computer Processing of Remotely-Sensed Images, Inbunden

      Mather, P: Computer Processing of Remotely-Sensed Images

      Paul M Mather, Magaly Koch

      Inbunden, 2011

      1 416 kr

      Paul M. Mather - Computer Processing of Remotely-Sensed Images, E-bok

      Computer Processing of Remotely-Sensed Images

      Paul M. Mather

      E-bok
      2005

      1 898 kr

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather - Classification Methods for Remotely Sensed Data, Inbunden

      Classification Methods for Remotely Sensed Data

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather

      Inbunden, 2024

      2 683 kr

      Paul M. Mather - Computer Applications in Geography, Häftad

      Computer Applications in Geography

      Paul M. Mather

      Häftad, 1991

      2 251 kr

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather - Classification Methods for Remotely Sensed Data, Häftad
      • Nyhet

      Classification Methods for Remotely Sensed Data

      Taskin Kavzoglu, Brandt Tso, Paul M. Mather

      Häftad, 2026

      904 kr

      Paul M. Mather, Brandt Tso, Taskin Kavzoglu - Classification Methods for Remotely Sensed Data, E-bok

      Classification Methods for Remotely Sensed Data

      Paul M. Mather, Brandt Tso, Taskin Kavzoglu

      E-bok
      2024

      2 473 kr