Skip to content

Computer Processing of Remotely-Sensed Images An Introduction

ISBN-10: 0471985503

ISBN-13: 9780471985501

Edition: 2nd 1999

Authors: Paul M. Mather

List price: $80.00
Blue ribbon 30 day, 100% satisfaction guarantee!
what's this?
Rush Rewards U
Members Receive:
Carrot Coin icon
XP icon
You have reached 400 XP and carrot coins. That is the daily max!


Computer Processing of Remotely-Sensed Images An Introduction Second Edition Paul M. Mather School of Geography, The University of Nottingham, UK Remotely-sensed images of the Earth's surface provide an invaluable source of information about the geographical distribution of natural and cultural features, as well as a record of changes in environmental conditions over decadal time-scales. The second edition of this successful book provides an accessible introduction to the processing and analysis of digital images collected by aircraft and satellite-borne sensors that operate in the visible, infrared and microwave regions of the spectrum. The book begins with a survey of the physical principles of remote sensing, and goes on to consider the nature and sources of remotely-sensed data. A short survey of those aspects of computing that are relevant to remote sensing completes the introductory section of the book. In the remaining five chapters, the author surveys those aspects of image processing and pattern recognition that are relevant to remote sensing applications, including: pre-processing, enhancement, image transforms, and filtering techniques. An extended survey of classification and related methods, including neural networks, fuzzy classifiers and spectral unmixing, forms the final chapter. A unique feature of this book is the provision of a CD-ROM containing software and image data sets. The MIPS image display program provides facilities for image display, enhancement, filtering, classification, and arithmetic. 38 additional programs are provided, convering applications including maximum likelihood classification, spectral unmixing, geometric correction, principal components analysis. All of these programs run on a standard PC using the Windows 95 operating system. In addition, more than 25 image data sets collected by the Landsat MSS and TM, SPOT HRV, NOAA AVHRR and RADARSAT SAR are contained on the CD-ROM, making this book a complete package - textbook, software and data - for advanced undergraduate and Masters courses. It can also be used by postgraduate research students as a survival guide.
Customers also bought

Book details

List price: $80.00
Edition: 2nd
Copyright year: 1999
Publisher: John Wiley & Sons, Incorporated
Publication date: 6/22/1999
Binding: Paperback
Pages: 306
Size: 7.75" wide x 9.75" long x 0.75" tall
Weight: 1.386
Language: English

Preface to the First Edition
Preface to the Second Edition
Preface to the Third Edition
List of Examples
Remote Sensing: Basic Principles
Electromagnetic radiation and its properties
Nature of electromagnetic radiation
The electromagnetic spectrum
Sources of electromagnetic radiation
Interactions with the Earth's atmosphere
Interaction with Earth-surface materials
Spectral reflectance of Earth surface materials
Remote Sensing Platforms and Sensors
Characteristics of imaging remote sensing instruments
Spatial resolution
Spectral resolution
Radiometric resolution
Optical, near-infrared and thermal imaging sensors
Along-Track Scanning Radiometer (ATSR
Advanced Very High Resolution Radiometer (AVHRR
MODIS MODerate Resolution Imaging Spectrometer
Ocean observing instruments
Landsat Instruments
SPOT sensors
Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER
High-resolution commercial and micro-satellite systems
Microwave imaging sensors
Hardware and Software Aspects of Digital Image Processing
Properties of digital remote sensing data
Digital data
Data formats
System processing
MIPS software
Installing MIPS
Using MIPS
Summary of MIPS functions
Pre-processing of Remotely Sensed Data
Cosmetic operations
Missing scan lines
De-striping methods
Geometric correction and registration
Orbital geometry model
Transformation based on ground control points
Resampling procedures
Image registration
Other geometric correction methods
Atmospheric correction
Image-based methods
Radiative transfer models
Empirical line method
Illumination and view angle effects
Sensor calibration
Terrain effects
Image Enhancement Techniques
Human visual system
Contrast enhancement
Linear contrast stretch
Histogram equalisation
Gaussian Stretch
Pseudocolour enhancement
Density slicing
Pseudocolour transform
Image Transforms
Arithmetic operations
Image addition
Image subtraction
Image multiplication
Image division and vegetation Indices
Empirically based image transforms
Perpendicular Vegetation Index
Tasselled Cap (Kauth-Thomas) transformation
Principal Components Analysis
Standard Principal Components Analysis
Noise-adjusted Principal Components Analysis
Decorrelation stretch
Hue, Saturation and Intensity (HIS) transform
The Discrete Fourier Transform
Two-dimensional DFT
Applications of the DFT
The Discrete Wavelet Transform
The one-dimensional Discrete Wavelet Transform
The two-dimensional Discrete Wavelet Transform
Filtering Techniques
Spatial domain low-pass (smoothing) filters
Moving average filter
Median filter
Adaptive filters
Spatial domain high-pass (sharpening) filters
Image subtraction method
Derivative-based methods
Spatial domain edge detectors
Frequency domain filters
Geometrical basis of classification
Unsupervised classification
The k-means algorithm
A modified k-means algorithm
Supervised classification
Training samples
Statistical classifiers
Neural Classifiers
Fuzzy classification and linear spectral unmixing
The linear mixture model
Fuzzy classifiers
Other approaches to image classification
Incorporation of non-spectral features
Use of external data
Contextual information
Feature selection
Classification accuracy
Advanced Topics
SAR Interferometry
Basic principles
Interferometric processing
Problems in SAR interferometry
Applications of SAR interferometry
Imaging spectrometry
Processing imaging spectrometer data
Lidar details
Lidar applications
Using the CD-ROM Image Data Sets