Abstract Airborne and satellite digital image acquisition, preprocessing, and data reduction techniques as applied to remotely sensed data for the purpose of extracting useful Earth resources information are discussed in this chapter. The image processing and postprocessing 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
Fundamentals of Remote Sensing Imaging and Preliminary Analysis
Handbook of Satellite Applications ; 981-1016
2nd ed. 2017
2017-01-01
36 pages
Article/Chapter (Book)
Electronic Resource
English
Remote sensing data acquisition , Data fusion , Digital image processing , Digital image data integration , Electromagnetic spectrum , Hyperspectral imaging , Light detection and ranging (LiDAR) , Multispectral imaging , Radio detection and ranging (RADAR) , Radiometric resolution , Satellite remote sensing , Spatial resolution , Spectral resolution , Temporal resolution , Geospatial data integration Engineering , Aerospace Technology and Astronautics , Applied and Technical Physics , Remote Sensing/Photogrammetry , Computer Applications in Chemistry , Space Sciences (including Extraterrestrial Physics, Space Exploration and Astronautics) , Communications Engineering, Networks
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