Abstract
Digital SAR processing is referred to the correlation process and computer vision approaches to utilize the outcome of the image to identify an object from the image. Thereby, the SAR signal from the image can be examined to extract the optimum Doppler returns. These are necessary for the successful reconstruction of the return signals into an acceptable image format. In addition to SAR signal processing of data, a number of computations may carry out from a digital SAR processor. Digital SAR processors allow the user to specify additional processing options which may include slant-range to ground-range conversion, range dependent gain correction, the number of independent looks in the azimuth dimension, or pixel spacing. These can also apply for the post-image generation phase. The general theory behind these methods is presented in this chapter. Then it follows the introduction and various digital radar image techniques that may use by an image analyst utilizing a digital image analysis system and suitable computer software packages.
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Pirasteh, S., Safari, H.O., Mollaee, S. (2015). Digital Processing of SAR Data and Image Analysis Techniques. In: Li, J., Yang, X. (eds) Monitoring and Modeling of Global Changes: A Geomatics Perspective. Springer Remote Sensing/Photogrammetry. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9813-6_14
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DOI: https://doi.org/10.1007/978-94-017-9813-6_14
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