Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgements
- 1 Introduction
- 2 Signals in one dimension
- 3 Signals in two dimensions
- 4 Optical imaging systems
- 5 Antenna systems
- 6 The ambiguity function
- 7 Radar imaging systems
- 8 Diffraction imaging systems
- 9 Construction and reconstruction of images
- 10 Tomography
- 11 Likelihood and information methods
- 12 Radar search systems
- 13 Passive and baseband surveillance systems
- 14 Data combination and tracking
- 15 Phase noise and phase distortion
- References
- Index
Preface
Published online by Cambridge University Press: 19 August 2009
- Frontmatter
- Contents
- Preface
- Acknowledgements
- 1 Introduction
- 2 Signals in one dimension
- 3 Signals in two dimensions
- 4 Optical imaging systems
- 5 Antenna systems
- 6 The ambiguity function
- 7 Radar imaging systems
- 8 Diffraction imaging systems
- 9 Construction and reconstruction of images
- 10 Tomography
- 11 Likelihood and information methods
- 12 Radar search systems
- 13 Passive and baseband surveillance systems
- 14 Data combination and tracking
- 15 Phase noise and phase distortion
- References
- Index
Summary
As processing technology continues its rapid growth, it occasionally causes us to take a new point of view toward many long-established technological disciplines. It is now possible to record precisely such signals as ultrasonic or X-ray signals or electromagnetic signals in the radio and radar bands and, using advanced digital or optical processors, to process these records to extract information deeply buried within the signal. Such processing requires the development of algorithms of great precision and sophistication. Until recently such algorithms were often incompatible with most processing technologies, and so there was no real impetus to develop a general, unified theory of these algorithms. Consequently, it was scarcely noticed that a general theory might be developed, although some special problems were well studied. Now the time is ripe for a general theory of these algorithms. These are called algorithms for remote image formation, or algorithms for remote surveillance. This topic of image formation is a branch of the broad field of informatics.
Systems for remote image formation and surveillance have developed independently in diverse fields over the years. They are often very much driven by the kind of hardware that is used to sense the raw data or to do the processing.
- Type
- Chapter
- Information
- Theory of Remote Image Formation , pp. xiii - xvPublisher: Cambridge University PressPrint publication year: 2004