• Summary
  • Contents
  • Subject index

Remote sensing acquires and interprets small or large-scale data about the Earth from a distance. Using a wide range of spatial, spectral, temporal, and radiometric scales remote sensing is a large and diverse field for which this Handbook will be the key research reference. Illustrated throughout, an essential resource for the analysis of remotely sensed data, The SAGE Handbook of Remote Sensing provides researchers with a definitive statement of the core concepts and methodologies in the discipline.

Pre-Processing of Optical Imagery
Pre-processing of optical imagery

spectrometer, pre-processing, calibration, radiometric, atmospheric, geometric, SNR, NER, noise.


The pre-processing chain from raw image data to a fully georeferenced and parametrized (calibrated and in units that have a physical meaning) data that an end user typically would deploy for environmental studies is the scope of this chapter. Many calibration and processing steps are similar for multi-band, multispectral and high-spectral resolution imagery. Hence, the processing chain of hyperspectral remote sensing imagery is chosen as a proxy for the broader range of optical, visible, and infrared, data sets. Active sensor systems are excluded in this review as these require a significantly different pre-processing. Thermal infrared imagery is, however, included as it shows similar characteristics to data acquired in the visible ...

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