Page 28 - Digital Analysis of Remotely Sensed Imagery
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CHAPTER 1






                                                        Overview







                      igital processing of satellite imagery refers to computer-
                      based operations that aim to restore, enhance, and classify
               Dremotely sensed data. It may involve a single band or multiple
               bands in the input, depending on the nature and purpose of the
               processing. The output image is a single band in most cases. Digital
               analysis of remotely sensed data has a relatively short history. It did
               not come into existence until the early 1970s with the launch of the
               first Earth Resources Technology Satellite (subsequently renamed
               Landsat), when remote sensing images in the digital format became
               available for the first time in history. The availability of a huge
               quantity of data necessitated their timely and efficient processing. In
               response to this demand, digital analysis of remote sensing data
               experienced exponential development. In its early years, digital
               image analysis was very cumbersome to undertake because the
               computer had limited functions and capability. Undertaking of digital
               image analysis was made more difficult by the minicomputer running
               the user-unfriendly UNIX operating system. Over the years digital
               image analysis has become increasingly easy to perform, thanks to
               advances in computing technology and in image analysis systems.
               Now more processing functions can be achieved at a much faster
               pace than ever before.
                   This chapter introduces the main characteristics and components
               of a digital image processing system. The nature of digital analysis of
               remote sensing images is summarized comparatively with that of the
               familiar visual image interpretation. Following this comparison is a
               comprehensive review of the entire process of digital image analysis
               from data input to results presentation. Presented next in this chapter
               is an introduction to the preliminary knowledge of digital image
               analysis that serves to lay a solid foundation for discussion in the
               subsequent chapters. Featured prominently in this section are pixels,
               the building blocks of satellite imagery. Lastly, this chapter introduces
               the important properties of satellite data, such as their spatial and
               spectral resolutions, in detail. This chapter ends with an overview of
               the content of the remaining chapters in this book.


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