Abstract
The main objective of this chapter is to focus on the digital preprocessing and data reduction techniques as applied to remotely sensed data for the purpose of extracting useful Earth resources information. The image processing and post-processing tools are described in the next chapter. The concepts discussed in this chapter include:
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Image acquisition considerations including currently available remotely sensed data
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Image characteristics in terms of spatial, spectral, radiometric, and temporal resolutions
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Preprocessing techniques such as geometric distortion removals, atmospheric correction algorithms, image registration, enhancement, masking, and data transformations
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Data reduction, fusion, and integration techniques
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International policies governing acquisition and distribution of remotely sensed data
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Khorram, S., Nelson, S.A.C., Cakir, H., van der Wiele, C.F. (2013). Digital Image Acquisition: Preprocessing and Data Reduction. In: Pelton, J.N., Madry, S., Camacho-Lara, S. (eds) Handbook of Satellite Applications. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7671-0_46
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