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
01.01.2013
29 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Data fusion , Digital image processing , Digital integration , Electromagnetic spectrum , Hyperspectral imaging , Light detection and ranging (LiDAR) , Multispectral imaging , Pixel , Preprocessing , Radio detection and ranging (RADAR) , Radiometric resolution , Satellite remote sensing , Spatial resolution , Spectral resolution , Temporal resolution Engineering , Aerospace Technology and Astronautics , Applied and Technical Physics , Remote Sensing/Photogrammetry , Computer Systems Organization and Communication Networks , Communications Engineering, Networks , Extraterrestrial Physics, Space Sciences , Digital Image Acquisition: Preprocessing and Data Reduction
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