Remote Sensing Digital Image Analysis book

 Remote Sensing Digital Image Analysis


The first edition of this book appeared 25 years ago. Since then there have been enormous advances in the availability of computing resources for the analysis of remote sensing image data, and there are many more remote sensing programs and sensors now in operation. There have also been significant developments in the algorithms used for the processing and analysis of remote sensing imagery; nevertheless, many of the fundamentals have substantially remained the same. It is the purpose of this new edition to present material that has retained value since those early days, along with new techniques that can be incorporated into an operational framework for the analysis of remote sensing data.
This book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image processing in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. That is important because the recognised authorities in the digital image analysis literature tend to be from engineering, computer science and mathematics. Although familiarity with a certain level of mathematics and statistics cannot be avoided, the treatment here
works through analyses carefully, with a substantial degree of explanation, so that those with a minimum of mathematical preparation may still draw benefit.
Appendices are included on some of the more important mathematical and statistical concepts, but a familiarity with calculus is assumed.
From an operational point of view, it is important not to separate the techniques and algorithms for image analysis from an understanding of remote sensing fundamentals. Domain knowledge guides the choice of data for analysis and allows algorithms to be selected that best suit the task at hand. Such an operational
context is a hallmark of the treatment here. The coverage commences with a summary of the sources and characteristics of image data, and the reflectance and emission characteristics of earth surface materials, for those readers without a detailed knowledge of the principles and practices of remote sensing. The book then progresses though image correction, image enhancement and image analysis, so that digital data handling is properly located in its applications domain.

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