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: Image acquisition considerations including currently available remotely sensed data Image characteristics in terms of spatial, spectral, radiometric, and temporal resolutions Preprocessing techniques such as geometric distortion removals, atmospheric correction algorithms, image registration, enhancement, masking, and data transformations Data reduction, fusion, and integration techniques International policies governing acquisition and distribution of remotely sensed data
Digital Image Acquisition: Preprocessing and Data Reduction
Handbook of Satellite Applications ; 809-837
2013-01-01
29 pages
Article/Chapter (Book)
Electronic Resource
English
Multispectral imaging , Preprocessing , Light detection and ranging (LiDAR) , Digital image processing , Temporal resolution , Spectral resolution , Radiometric resolution , Hyperspectral imaging , Pixel , Data fusion , Digital integration , Electromagnetic spectrum , Spatial resolution , Satellite remote sensing , Radio detection and ranging (RADAR) Extraterrestrial Physics, Space Sciences , Aerospace Technology and Astronautics , Communications Engineering, Networks , Applied and Technical Physics , Computer Systems Organization and Communication Networks , Digital Image Acquisition: Preprocessing and Data Reduction , Engineering , Remote Sensing/Photogrammetry
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